Professor Jianzhong Wu

2021

• Huo, Y.et al. 2021. Data-driven adaptive operation of soft open points in active distribution networks. IEEE Transactions on Industrial Informatics 17(12), pp. 8230-8242. (10.1109/TII.2021.3064370)
• Yamujala, S.et al. 2021. A stochastic multi-interval scheduling framework to quantify operational flexibility in low carbon power systems. Applied Energy 304, article number: 117763. (10.1016/j.apenergy.2021.117763)
• Cetenovic, D.et al. 2021. An adaptive method for tuning process noise covariance matrix in EKF-based three-phase distribution system state estimation. International Journal of Electrical Power & Energy Systems 132, article number: 107192. (10.1016/j.ijepes.2021.107192)
• Yang, T.et al. 2021. Towards healthy and cost-effective indoor environment management in smart homes: A deep reinforcement learning approach. Applied Energy 300, article number: 117335. (10.1016/j.apenergy.2021.117335)
• Ma, S.et al. 2021. Programmable intrusion detection for distributed energy resources in cyber-physical networked microgrids. Applied Energy
• Wei, W.et al. 2021. Assessment of the solar energy accommodation capability of the district integrated energy systems considering the transmission delay of the heating network. International Journal of Electrical Power and Energy Systems 130, article number: 106821. (10.1016/j.ijepes.2021.106821)
• Alnaser, S. W.et al. 2021. Transition towards solar photovoltaic self-consumption policies with batteries: from the perspective of distribution networks. Applied Energy
• Jing, R.et al. 2021. Planning urban energy systems adapting to extreme weather. Advances in Applied Energy 3, article number: 100053. (10.1016/j.adapen.2021.100053)
• Li, P.et al. 2021. Intraday multi-objective hierarchical coordinated operation of a multi-energy system. Energy 228, article number: 120528. (10.1016/j.energy.2021.120528)
• Chen, S.et al. 2021. Operational flexibility of active distribution networks with the potential from data centers. Applied Energy 293, article number: 116935. (10.1016/j.apenergy.2021.116935)
• Zhao, J.et al. 2021. Improved SVD-based data compression method for synchronous phasor measurement in distribution networks. International Journal of Electrical Power and Energy Systems 129, article number: 106877. (10.1016/j.ijepes.2021.106877)
• Wang, S.et al. 2021. Short-term wind power prediction based on multidimensional data cleaning and feature reconfiguration. Applied Energy 292, article number: 116851. (10.1016/j.apenergy.2021.116851)
• Xu, X.et al. 2021. Unlocking the flexibility of combined heat and power for frequency response by coordinative control with batteries. IEEE Transactions on Industrial Informatics 17(5), pp. 3209-3219. (10.1109/TII.2020.3012495)
• Zhao, Y.et al. 2021. Optimal operation of compressor units in gas networks to provide flexibility to power systems. Applied Energy 290, article number: 116740. (10.1016/j.apenergy.2021.116740)
• Abeysinghe, S.et al. 2021. Electrical properties of medium voltage electricity distribution networks. CSEE Journal of Power and Energy Systems 7(3), pp. 497-509. (10.17775/CSEEJPES.2020.01640)
• Abeysinghe Herath Mudiyanselage, S. M.et al. 2021. Use of distributed generation to control reactive power at the transmission distribution interface. Presented at: IEEE PES ISGT EUROPE 2021, Virtual, 18-21 October 2021.

2020

• Kanteh Sakiliba, S.et al. 2020. The energy performance and techno-economic analysis of zero energy bill homes. Energy and Buildings 228, article number: 110426. (10.1016/j.enbuild.2020.110426)
• Hua, W.et al. 2020. A blockchain based peer-to-peer trading framework integrating energy and carbon markets. Applied Energy 279, article number: 115539. (10.1016/j.apenergy.2020.115539)
• Wu, W.et al. 2020. GPU-based power converter transient simulation with matrix exponential integration and memory management. International Journal of Electrical Power and Energy Systems 122, article number: 106186. (10.1016/j.ijepes.2020.106186)
• Zhou, Y.et al. 2020. Framework design and optimal bidding strategy for ancillary service provision from a peer-to-peer energy trading community. Applied Energy 278, article number: 115671. (10.1016/j.apenergy.2020.115671)
• Xu, X.et al. 2020. Quantification of flexibility of a district heating system for the power grid. IEEE Transactions on Sustainable Energy 11(4), pp. 2617-2630. (10.1109/TSTE.2020.2968507)
• Pan, Z.et al. 2020. Probabilistic load flow calculation for three-phase unbalanced droop-regulated islanded microgrids based on low-rank approximation method. China Journal of Electrical Engineering 40(20), pp. 6506-6515. (10.13334/j.0258-8013.pcsee.191527)
• Pan, Z.et al. 2020. Load flow calculation for droop-controlled islanded microgrids based on direct Newton-Raphson method with step size optimisation. IET Generation, Transmission and Distribution 14(21), pp. 4775-4787. (10.1049/iet-gtd.2019.1722)
• Wang, J.et al. 2020. Optimal scheduling of gas and electricity consumption in a smart home with a hybrid gas boiler and electric heating system. Energy 204, article number: 117951. (10.1016/j.energy.2020.117951)
• Alnaser, S. W.et al. 2020. Residential community with PV and batteries: reserve provision under grid constraints. International Journal of Electrical Power and Energy Systems 119, article number: 105856. (10.1016/j.ijepes.2020.105856)
• Zhou, Y.et al. 2020. State-of-the-art analysis and perspectives for peer-to-peer energy trading. Engineering 6(7), pp. 739-753. (10.1016/j.eng.2020.06.002)
• Li, P.et al. 2020. Operational flexibility of active distribution networks: definition, quantified calculation and application. International Journal of Electrical Power and Energy Systems 119, article number: 105872. (10.1016/j.ijepes.2020.105872)
• Sun, W.et al. 2020. Material and energy flows of the iron and steel industry: status quo, challenges and perspectives. Applied Energy 268, article number: 114946. (10.1016/j.apenergy.2020.114946)
• Haghi, E.et al. 2020. An iterative approach for optimal decarbonization of electricity andheat supply systems in the Great Britain. Energy 201, article number: 117611. (10.1016/j.energy.2020.117611)
• Wei, W.et al. 2020. Coordinated flexibility scheduling for urban integrated heat and power systems by considering the temperature dynamics of heating network. Energies 13(12), article number: 3273. (10.3390/en13123273)
• Cai, H., You, S. and Wu, J. 2020. Agent-based distributed demand response in district heating systems. Applied Energy 262, article number: 114403. (10.1016/j.apenergy.2019.114403)
• Li, P.et al. 2020. Self-healing oriented supply restoration method based on the coordination of multiple SOPs in active distribution networks. Energy 195, article number: 116968. (10.1016/j.energy.2020.116968)

2019

• Zhao, Z.et al. 2019. Optimal placement of PMUs and communication links for distributed state estimation in distribution networks. Applied Energy 256, article number: 113963. (10.1016/j.apenergy.2019.113963)
• Yang, P.et al. 2019. A SiC-based neutral leg for the three-phase four-wire inverter. Presented at: IECON 2019 - 45th Annual Conference of the IEEE Industrial Electronics Society, Lisbon, Portugal, 14-17 October 2019IECON 2019 - 45th Annual Conference of the IEEE Industrial Electronics Society. IEEE pp. 1555-1560., (10.1109/IECON.2019.8927531)
• Yang, P.et al. 2019. A four-leg buck inverter for three-phase four-wire systems with the function of reducing DC-bus ripples. Presented at: IECON 2019 - 45th Annual Conference of the IEEE Industrial Electronics Society, Lisbon, Portugal, 14-17 October 2019IECON 2019 - 45th Annual Conference of the IEEE Industrial Electronics Society. IEEE pp. 1508-1513., (10.1109/IECON.2019.8927264)
• Yang, P.et al. 2019. Reduction of DC-link ripples for SiC-based three-phase four-wire inverters with unbalanced loads. Presented at: 11th Energy Conversion Congress and Exposition (ECCE 2019), Baltimore, MD, USA, 29 September - 3 October 20192019 IEEE Energy Conversion Congress and Exposition (ECCE). IEEE, (10.1109/ECCE.2019.8912810)
• Sun, W.et al. 2019. Assessment of multi-air emissions: case of particulate matter (dust), SO2, NOx and CO2 from iron and steel industry of China. Journal of Cleaner Production 232, pp. 350-358. (10.1016/j.jclepro.2019.05.400)
• Su, H.et al. 2019. Novel voltage-to-power sensitivity estimation for phasor measurement unit-unobservable distribution networks based on network equivalent. Applied Energy 250, pp. 302-312. (10.1016/j.apenergy.2019.05.018)
• Su, H.et al. 2019. Optimal placement of phasor measurement unit in distribution networks considering the changes in topology. Applied Energy 250, pp. 313-322. (10.1016/j.apenergy.2019.05.054)
• Sun, W.et al. 2019. Environmental impact assessment of wastewater discharge with multi-pollutants from iron and steel industry. Journal of Environmental Management 245, pp. 210-215. (10.1016/j.jenvman.2019.05.081)
• Xu, X.et al. 2019. Unlocking the flexibility of CHP in district heating systems to provide frequency response. Presented at: 13th IEEE PowerTech 2019, Milano, Italy, 23-27 June 2019IEEE Milan PowerTech. IEEE, (10.1109/PTC.2019.8810576)
• Jayasuriya, L.et al. 2019. Energy hub modelling for multi-scale and multi-energy supply systems. Presented at: 13th IEEE PowerTech 2019, Milano, Italy, 23 - 27 June 2019Proceedings 2019 IEEE Milan PowerTech. IEEE, (10.1109/PTC.2019.8810641)
• Chen, Q.et al. 2019. Optimal planning for partially self-sufficient microgrid with limited annual electricity exchange with distribution grid. IEEE Access 7, article number: 123505. (10.1109/ACCESS.2019.2936762)
• Liu, X., Yan, Z. and Wu, J. 2019. Optimal coordinated operation of a multi-energy community considering interactions between energy storage and conversion devices. Applied Energy 248, pp. 256-273. (10.1016/j.apenergy.2019.04.106)
• Ma, S.et al. 2019. Energy-cyber-physical system enabled management for energy-intensive manufacturing industries. Journal of Cleaner Production 226, pp. 892-903. (10.1016/j.jclepro.2019.04.134)
• Che, Y.et al. 2019. Demand response from the control of aggregated inverter air conditioners. IEEE Access 7, pp. 88163-88173. (10.1109/ACCESS.2019.2925659)
• Zhou, Y., Cheng, M. and Wu, J. 2019. Enhanced frequency response from industrial heating loads for electric power systems. IEEE Transactions on Industrial Informatics 15(6), pp. 3388-3399. (10.1109/TII.2018.2879907)
• Lv, C.et al. 2019. Model predictive control based robust scheduling of community integrated energy system with operational flexibility. Applied Energy 243, pp. 250-265. (10.1016/j.apenergy.2019.03.205)
• Zhao, J.et al. 2019. An islanding partition method of active distribution networks based on chance-constrained programming. Applied Energy 242, pp. 78-91. (10.1016/j.apenergy.2019.03.118)
• Li, P.et al. 2019. Combined decentralized and local voltage control strategy of soft open points in active distribution networks. Applied Energy 241, pp. 613-624. (10.1016/j.apenergy.2019.03.031)
• Gao, S., Wu, J. and Xu, B. 2019. Controllability evaluation of EV charging infrastructure transformed from gas stations in distribution networks with renewables. Energies 12(8), article number: 1577. (10.3390/en12081577)
• Wei, W.et al. 2019. A robust assessment model of the solar electrical-thermal energy comprehensive accommodation capability in a district integrated energy system. Energies 12(7), article number: 1363. (10.3390/en12071363)
• Li, P.et al. 2019. Determination of local voltage control strategy of distributed generators in active distribution networks based on kriging metamodel. IEEE Access 7, pp. 34438-3536. (10.1109/ACCESS.2019.2904144)
• Pan, Z.et al. 2019. Quasi-dynamic interactions and security control of integrated electricity and heating systems in normal operations. CSEE Journal of Power and Energy Systems 5(1), pp. -. (10.17775/CSEEJPES.2018.00240)
• Zhao, J.et al. 2019. Congestion management method of low- voltage active distribution networks based on distribution locational marginal price. IEEE Access 7, pp. 32240-32255. (10.1109/ACCESS.2019.2903210)
• Thomas, L.et al. 2019. A general form of smart contract for decentralised energy systems management. Nature Energy 4, pp. 140-149. (10.1038/s41560-018-0317-7)
• Zhang, A.et al. 2019. Optimal planning of integrated energy systems for offshore oil extraction and processing platforms. Energies 12(4), article number: 756. (10.3390/en12040756)
• Bastida Hernandez, H.et al. 2019. Dynamic modelling and control of thermal energy storage. Energy Procedia 158, pp. 2890-2895. (10.1016/j.egypro.2019.01.942)
• Bastida, H.et al. 2019. Thermal dynamic modelling and temperature controller design for a house. Energy Procedia 158, pp. 2800-2805. (10.1016/j.egypro.2019.02.041)
• Zhou, Y.et al. 2019. Decentralized control of industrial heating loads for providing multiple levels and types of primary frequency control service. Energy Procedia 158, pp. 3138-3143. (10.1016/j.egypro.2019.01.1015)
• Long, C., Zhou, Y. and Wu, J. 2019. A game theoretic approach for peer to peer energy trading. Energy Procedia 159, pp. 454-459. (10.1016/j.egypro.2018.12.075)
• Li, P.et al. 2019. A unified energy bus based multi-energy flow modeling method of integrated energy system. Energy Procedia 159, pp. 418-423. (10.1016/j.egypro.2018.12.066)
• Ji, H.et al. 2019. A decentralized voltage control strategy of soft open points in active distribution networks. Energy Procedia 159, pp. 412–417. (10.1016/j.egypro.2018.12.067)
• Li, P.et al. 2019. A combined central and local voltage control strategy of soft open points in active distribution networks. Energy Procedia 158, pp. 2524-2529. (10.1016/j.egypro.2019.01.410)
• Li, X.et al. 2019. Structure constrained controller design for power plants and EV aggregator in frequency regulation considering time delays. Energy Procedia 158, pp. 2966-2971. (10.1016/j.egypro.2019.01.961)
• Li, P.et al. 2019. Voltage control method of distribution networks using PMU based sensitivity estimation. Energy Procedia 158, pp. 2707-2712. (10.1016/j.egypro.2019.02.026)
• Li, P.et al. 2019. Optimal operation of soft open points in active distribution networks under three-phase unbalanced conditions. IEEE Transactions on Smart Grid 10(1), pp. 380-391. (10.1109/TSG.2017.2739999)
• Zhang, A.et al. 2019. Multi-objective stochastic planning for offshore micro integrated energy systems. Automation of Electric Power Systems 43(7), pp. 129-135. (10.7500/AEPS20180417002)
• Sun, W.et al. 2019. Chlorine corrosion of blast furnace gas pipelines: analysis from thermal perspective. Journal of Mining and Metallurgy, Section B : Metallurgy 55(2), pp. 197-208. (10.2298/JMMB181016028S)
• Al-Wakeel, A., Wu, J. and Jenkins, N. 2019. Load estimation of domestic smart meter measurements using moving average and moving median techniques. Presented at: International Conference on Applied Energy, Västerås, Sweden, 12-15 Aug 2019.
• Xu, X.et al. 2019. Coordinative control of CHP generation and battery for frequency response. Presented at: 2019 IEEE Power & Energy Society General Meeting (PESGM), Atlanta, GA, 4-8 August 2019. pp. 1., (10.1109/PESGM40551.2019.8973982)

2018

• Abdelrahman, M. A.et al. 2018. Optimal operation of multi-terminal soft open point to increase hosting capacity of distributed generation in medium voltage networks. Presented at: 53rd International Universities Power Engineering Conference (UPEC), Glasgow, UK, 4-7 Sept 2018. , (10.1109/UPEC.2018.8541861)
• Qi, Q.et al. 2018. Impacts of a medium voltage direct current link on the performance of electrical distribution networks. Applied Energy 230, pp. 175-188. (10.1016/j.apenergy.2018.08.077)
• Wang, C.et al. 2018. Modeling and optimal operation of community integrated energy systems: A case study from China. Applied Energy 230, pp. 1242-1254. (10.1016/j.apenergy.2018.09.042)
• Wang, Z.et al. 2018. Extendable multirate real-time simulation of active distribution networks based on field programmable gate arrays. Applied Energy 228, pp. 2422-2436. (10.1016/j.apenergy.2018.07.099)
• Ji, H.et al. 2018. A centralized-based method to determine the local voltage control strategies of distributed generator operation in active distribution networks. Applied Energy 228, pp. 2024-2036. (10.1016/j.apenergy.2018.07.065)
• Sahoo, S.et al. 2018. A containment based distributed finite-time controller for bounded voltage regulation & proportionate current sharing in DC microgrids. Applied Energy 228, pp. 2526-2538. (10.1016/j.apenergy.2018.06.081)
• Aithal, A.et al. 2018. Performance of an electrical distribution network with soft open point during a grid side AC fault. Applied Energy 227, pp. 262-272. (10.1016/j.apenergy.2017.08.152)
• Long, C.et al. 2018. Peer-to-peer energy sharing through a two-stage aggregated battery control in a community Microgrid. Applied Energy 226, pp. 261-276. (10.1016/j.apenergy.2018.05.097)
• Chen, Y. and Wu, J. 2018. Distribution patterns of energy consumed in classified public buildings through the data mining process. Applied Energy 226, pp. 240-251. (10.1016/j.apenergy.2018.05.123)
• Dong, X.et al. 2018. A charging pricing strategy of electric vehicle fast charging stations for the voltage control of electricity distribution networks. Applied Energy 225, pp. 857-868. (10.1016/j.apenergy.2018.05.042)
• Haapola, J.et al. 2018. Peer-to-peer energy trading and grid control communications solutions' feasibility assessment based on key performance indicators. Presented at: IEEE 87th Vehicular Technology Conference (VTC Spring), Porto, Portugal, 3-6 June 2018Proceedings of the 2018 IEEE 87th Vehicular Technology Conference (VTC Spring). IEEE, (10.1109/VTCSpring.2018.8417871)
• Zhou, Y., Wu, J. and Long, C. 2018. Evaluation of peer-to-peer energy sharing mechanisms based on a multiagent simulation framework. Applied Energy 222, pp. 993-1022. (10.1016/j.apenergy.2018.02.089)
• Ji, H.et al. 2018. SOP-based islanding partition method of active distribution networks considering the characteristics of DG, energy storage system and load. Energy 155, pp. 312-325. (10.1016/j.energy.2018.04.168)
• Sami, S. S.et al. 2018. Virtual energy storage system for voltage control of distribution networks. CSEE Journal of Power and Energy Systems 4(2), pp. 146-154. (10.17775/CSEEJPES.2016.01330)
• Zhang, C.et al. 2018. Peer-to-peer energy trading in a microgrid. Applied Energy 220, pp. 1-12. (10.1016/j.apenergy.2018.03.010)
• Wang, Z.et al. 2018. Kernel solver design of FPGA-based real-time simulator for active distribution networks. IEEE Access 6, pp. 29146-29157. (10.1109/ACCESS.2018.2842076)
• Li, P.et al. 2018. PMU-based estimation of voltage-to-power sensitivity for distribution networks considering the sparsity of Jacobian matrix. IEEE Access 6, pp. 31307-31316. (10.1109/ACCESS.2018.2841010)
• Ji, H.et al. 2018. Quantified flexibility evaluation of soft open points to improve distributed generator penetration in active distribution networks based on difference-of-convex programming. Applied Energy 218, pp. 338-348. (10.1016/j.apenergy.2018.02.170)
• Long, C.et al. 2018. Peer-to-peer energy trading in a community microgrid. Presented at: 2017 IEEE Power & Energy Society General Meeting, Chicago, IL, USA, 16-20 July 2017Power & Energy Society General Meeting, 2017 IEEE. IEEE, (10.1109/PESGM.2017.8274546)
• Abeysinghe Herath Mudiyanselage, S. M.et al. 2018. Topological properties of medium voltage electricity distribution networks. Applied Energy 210, pp. 1101-1112. (10.1016/j.apenergy.2017.06.113)
• Wang, C.et al. 2018. Distributed Energy and Microgrids (DEM). Applied Energy 210, pp. 685-689. (10.1016/j.apenergy.2017.11.059)
• Jia, H.et al. 2018. Coordinated control for EV aggregators and power plants in frequency regulation considering time-varying delays. Applied Energy 210, pp. 1363-1376. (10.1016/j.apenergy.2017.05.174)
• Pan, Z., Wu, J. and Abeysekera, M. 2018. Quasi-dynamic interactions between electricity systems and heating systems in normal operation. Presented at: 2017 IEEE Conference on Energy Internet and Energy System Integration (EI2), Beijing, China, 26-28 November 20172017 IEEE Conference on Energy Internet and Energy System Integration (EI2). IEEE pp. 1-6., (10.1109/EI2.2017.8245725)

2017

• Qi, Q., Wu, J. and Long, C. 2017. Multi-objective operation optimization of an electrical distribution network with soft open point. Applied Energy 208, pp. 734-744. (10.1016/j.apenergy.2017.09.075)
• Jin, X.et al. 2017. Hierarchical microgrid energy management in an office building. Applied Energy 208, pp. 480-494. (10.1016/j.apenergy.2017.10.002)
• Ji, H.et al. 2017. An enhanced SOCP-based method for feeder load balancing using the multi-terminal soft open point in active distribution networks. Applied Energy 208, pp. 986-995. (10.1016/j.apenergy.2017.09.051)
• Zhou, Y.et al. 2017. Performance evaluation of peer-to-peer energy sharing models. Energy Procedia 143, pp. 817-822. (10.1016/j.egypro.2017.12.768)
• Abhinav, R.et al. 2017. Short-term wind power forecasting using wavelet-based neural network. Energy Procedia 142, pp. 455-460. (10.1016/j.egypro.2017.12.071)
• Chen, Y.et al. 2017. Resilient regional energy benchmarking of classified public buildings. Energy Procedia 142, pp. 2365-2370. (10.1016/j.egypro.2017.12.168)
• Bhatt, P.et al. 2017. Dynamic participation of DFIG for frequency regulation in electrical power systems. Energy Procedia 142, pp. 2183-2188. (10.1016/j.egypro.2017.12.586)
• Qi, Q.et al. 2017. Using an MVDC link to increase DG hosting capacity of a distribution network. Energy Procedia 142, pp. 2224-2229. (10.1016/j.egypro.2017.12.622)
• Ji, H.et al. 2017. A strengthened SOCP-based approach for evaluating the distributed generation hosting capacity with soft open points. Energy Procedia 142, pp. 1947-1952. (10.1016/j.egypro.2017.12.394)
• Foulds, E., Abeysekera, M. and Wu, J. 2017. Modelling and analysis of a ground source heat pump combined with a PV-T and earth energy storage system. Energy Procedia 142, pp. 886-891. (10.1016/j.egypro.2017.12.142)
• Sahoo, S.et al. 2017. Investigation of distributed cooperative control for DC microgrids in different communication medium. Energy Procedia 142, pp. 2218-2223. (10.1016/j.egypro.2017.12.592)
• Thomas, L.et al. 2017. Automation of the supplier role in the GB power system using blockchain based smart contracts. CIRED - Open Access Proceedings Journal 2017(1), pp. 2619-2623. (10.1049/oap-cired.2017.0987)
• Shao, Y.et al. 2017. A spatial-temporal charging load forecast and impact analysis method for distribution network using EVs-traffic-distribution model. Proceedings of the CSEE: Smart Grid 37(18), pp. 5207-5219. (10.13334/j.0258-8013.pcsee.161470)
• Qadrdan, M., Jenkins, N. and Wu, J. 2017. Smart grid and energy storage. In: Kalogirou, S. ed. McEvoy's Handbook of Photovoltaics, Third Edition: Fundamentals and Applications. Academic Press, pp. 915-927.
• Cheng, M.et al. 2017. Performance of industrial melting pots in the provision of dynamic frequency response in the Great Britain power system. Applied Energy 201, pp. 245-256. (10.1016/j.apenergy.2016.12.014)
• Pouttu, A.et al. 2017. P2P model for distributed energy trading, grid control and ICT for local smart grids. Presented at: 2017 European Conference on Networks and Communications (EuCNC), Oulu, Finland, 12-15 June 20172017 European Conference on Networks and Communications (EuCNC). IEEE, (10.1109/EuCNC.2017.7980652)
• Al-Wakeel, A., Wu, J. and Jenkins, N. 2017. k-means based load estimation of domestic smart meter measurements. Applied Energy 194, pp. 333-342. (10.1016/j.apenergy.2016.06.046)
• Teng, F.et al. 2017. Challenges on primary frequency control and potential solution from EVs in the future GB electricity system. Applied Energy 194 (10.1016/j.apenergy.2016.05.123)
• Wang, C.et al. 2017. Optimal configuration of soft open point for active distribution network considering the characteristics of distributed generation. Proceedings of the CSEE: Smart Grid (10.13334/j.0258-8013.pcsee.152649)
• Cheng, M., Sami, S. S. and Wu, J. 2017. Benefits of using virtual energy storage system for power system frequency response. Applied Energy 194, pp. 376-385. (10.1016/j.apenergy.2016.06.113)
• Jin, X.et al. 2017. Dynamic economic dispatch of a hybrid energy microgrid considering building based virtual energy storage system. Applied Energy 194, pp. 386-398. (10.1016/j.apenergy.2016.07.080)
• Wang, C.et al. 2017. Multiscale simulation of power system transients based on the matrix exponential function. IEEE Transactions on Power Systems 32(3), pp. 1913-1926. (10.1109/TPWRS.2016.2598883)
• Zhang, C.et al. 2017. Review of existing peer-to-peer energy trading projects. Energy Procedia 105, pp. 2563-2568. (10.1016/j.egypro.2017.03.737)
• Long, C.et al. 2017. Feasibility of peer-to-peer energy trading in low voltage electrical distribution networks. Energy Procedia 105, pp. 2227-2232. (10.1016/j.egypro.2017.03.632)
• Aithal, A., Li, G. and Wu, J. 2017. Grid side unbalanced fault detection using soft open point in an electrical distribution network. Energy Procedia 105, pp. 2859-2864. (10.1016/j.egypro.2017.03.631)
• Abeysinghe Herath Mudiyanselage, S. M., Wu, J. and Sooriyabandara, M. 2017. A statistical assessment tool for electricity distribution networks. Energy Procedia 105, pp. 2595-2600. (10.1016/j.egypro.2017.03.747)
• Qi, Q. and Wu, J. 2017. Increasing distributed generation penetration using network reconfiguration and soft open points. Energy Procedia 105, pp. 2169-2174. (10.1016/j.egypro.2017.03.612)
• Qadrdan, M.et al. 2017. Benefits of demand-side response in combined gas and electricity networks. Applied Energy 192, pp. 360-369. (10.1016/j.apenergy.2016.10.047)
• Wu, J.et al. 2017. Synergies between energy supply networks. Applied Energy 192, pp. 263-267. (10.1016/j.apenergy.2017.02.038)
• Li, P.et al. 2017. A coordinated control method of voltage and reactive power for active distribution net-works based on soft open point. IEEE Transactions on Sustainable Energy 8(4), pp. 1430-1442. (10.1109/TSTE.2017.2686009)
• Wang, C.et al. 2017. Optimal siting and sizing of soft open points in active electrical distribution networks. Applied Energy 189, pp. 301-309. (10.1016/j.apenergy.2016.12.075)
• Chengshan, W.et al. 2017. Smart electricity distribution networks. CRC Press.
• Wang, C.et al. 2017. A rolling projective integration method for stochastic dynamic simulation of active distribution networks. Proceedings of the CSEE: Smart Grid 37(4), pp. 1096-1105. (10.13334/j.0258-8013.pcsee.160338)
• Zhou, Y.et al. 2017. Optimal scheduling of aggregated thermostatically controlled loads with renewable generation in the intraday electricity market. Applied Energy 188, pp. 456-465. (10.1016/j.apenergy.2016.12.008)
• Wang, M.et al. 2017. Active power regulation for large-scale wind farms through an efficient power plant model of electric vehicles. Applied Energy 185(2), pp. 1673-1683. (10.1016/j.apenergy.2016.02.008)
• Aithal, A. and Wu, J. 2017. Operation and performance of a medium-voltage DC link. CIRED - Open Access Proceedings Journal 2017(1), pp. 1355-1358. (10.1049/oap-cired.2017.0946)

2016

• Qi, Q.et al. 2016. Multi-objective optimization of electrical distribution network operation considering reconfiguration and soft open points. Energy Procedia 103, pp. 141-146. (10.1016/j.egypro.2016.11.263)
• Wang, C.et al. 2016. Optimal configuration of soft open point for active distribution network based on mixed-integer second-order cone programming. Energy Procedia 103, pp. 70-75. (10.1016/j.egypro.2016.11.251)
• Jin, X.et al. 2016. Hierarchical management for building microgrid considering virtual storage system and plug-in electric vehicles. Energy Procedia 103, pp. 219-224. (10.1016/j.egypro.2016.11.276)
• He, Y., Jenkins, N. and Wu, J. 2016. Smart Metering for Outage Management of Electric Power Distribution Networks. Energy Procedia 103, pp. 159-164. (10.1016/j.egypro.2016.11.266)
• Zhang, C.et al. 2016. A bidding system for peer-to-peer energy trading in a grid-connected microgrid. Energy Procedia 103, pp. 147-152. (10.1016/j.egypro.2016.11.264)
• Cheng, M.et al. 2016. Use of Heating Loads for Grid Frequency Control. Energy Procedia 103, pp. 135-140. (10.1016/j.egypro.2016.11.262)
• Li, P.et al. 2016. A supply restoration method of distribution system based on Soft Open Point. Presented at: IEEE PES Innovative Smart Grid Technologies 2016 Asian Conference (ISGT Asia 2016), Melbourne, Australia, 28 November - 1 December 20162016 IEEE Innovative Smart Grid Technologies - Asia (ISGT-Asia 2016). Institute of Electrical and Electronics Engineers (IEEE) pp. 535-540., (10.1109/ISGT-Asia.2016.7796441)
• Al-Wakeel, A., Wu, J. and Jenkins, N. 2016. State estimation of medium voltage distribution networks using smart meter measurements. Applied Energy 184, pp. 207-218. (10.1016/j.apenergy.2016.10.010)
• Long, C.et al. 2016. Optimal operation of soft open points in medium voltage electrical distribution networks with distributed generation. Applied Energy 184, pp. 427-437. (10.1016/j.apenergy.2016.10.031)
• Wang, C.et al. 2016. Research and prospect for soft open point based flexible interconnection technology for smart distribution network. Dianli Xitong Zidonghua/Automation of Electric Power Systems 40(22), pp. 168-175. (10.7500/AEPS20160620009)
• Dong, X.et al. 2016. Planning of fast EV charging stations on a round freeway. IEEE Transactions on Sustainable Energy 7(4), pp. 1452-1461. (10.1109/TSTE.2016.2547891)
• Zhao, J.et al. 2016. Sequential voltage regulation of soft normally open point in active distribution network based on second-order cone programming. Gaodianya Jishu/High Voltage Engineering 42(7), pp. 2134-2141. (10.13336/j.1003-6520.hve.20160713014)
• Jin, X.et al. 2016. Optimal day-ahead scheduling of integrated urban energy systems. Applied Energy 180 (10.1016/j.apenergy.2016.07.071)
• Jin, H.et al. 2016. Robust unit commitment considering reserve from grid-scale energy storage. Presented at: 8th International Power Electronics and Motion Control Conference (IPEMC-ECCE Asia), Hefei, China, 22-26 May 2016Power Electronics and Motion Control Conference (IPEMC-ECCE Asia), 2016 IEEE 8th International. IEEE pp. 246-251., (10.1109/IPEMC.2016.7512293)
• Al-Wakeel, A. and Wu, J. 2016. K-means based cluster analysis of residential smart meter measurements. Energy Procedia 88, pp. 754-760. (10.1016/j.egypro.2016.06.066)
• Cheng, M., Sami, S. S. and Wu, J. 2016. Virtual energy storage system for smart grids. Energy Procedia 88, pp. 436-442. (10.1016/j.egypro.2016.06.021)
• Teng, F.et al. 2016. Challenges of primary frequency control and benefits of primary frequency response support from electric vehicles. Energy Procedia 88, pp. 985-990. (10.1016/j.egypro.2016.06.123)
• Wang, C.et al. 2016. A hybrid optimization method for distribution network operation with SNOP and tie switch. Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering 36(9), pp. 2315-2321. (10.13334/j.0258-8013.pcsee.2016.09.001)
• Cheng, M.et al. 2016. Power system frequency response from the control of bitumen tanks. IEEE Transactions on Power Systems 31(3), pp. 1769-1778. (10.1109/TPWRS.2015.2440336)
• Wu, J.et al. 2016. Integrated energy systems. Applied Energy 167, pp. 155-157. (10.1016/j.apenergy.2016.02.075)
• Cao, W.et al. 2016. Benefits analysis of Soft Open Points for electrical distribution network operation. Applied Energy 165, pp. 36-47. (10.1016/j.apenergy.2015.12.022)
• Abeysekera, M.et al. 2016. Steady state analysis of gas networks with distributed injection of alternative gas. Applied Energy 164, pp. 991-1002. (10.1016/j.apenergy.2015.05.099)
• Cao, W.et al. 2016. Operating principle of Soft Open Points for electrical distribution network operation. Applied Energy 164, pp. 245-257. (10.1016/j.apenergy.2015.12.005)
• Wu, J. 2016. Drivers and State-of-the-art of integrated energy systems in Europe. Automation of Electric Power Systems 40(5), pp. 1-7. (10.7500/AEPS20150512001)
• Liu, X.et al. 2016. Combined analysis of electricity and heat networks. Applied Energy 162, pp. 1238-1250. (10.1016/j.apenergy.2015.01.102)
• Meng, J.et al. 2016. Dynamic frequency response from electric vehicles considering travelling behavior in the Great Britain power system. Applied Energy 162, pp. 966-979. (10.1016/j.apenergy.2015.10.159)
• Zhao, J.et al. 2016. A Fast Calculation Method of Energy Storage System for Distribution Network Regulation Based on Conic Programming. Dianli Xitong Zidonghua/Automation of Electric Power Systems 40(2), pp. 30-35. (10.7500/AEPS20150417002)
• Li, B.et al. 2016. Loss-of-excitation analysis and protection for pumped storage machines during starting. IET Renewable Power Generation 10(1), pp. 71-78. (10.1049/iet-rpg.2015.0013)
• Yu, X.et al. 2016. A brief review to integrated energy system and energy internet. Diangong Jishu Xuebao/Transactions of China Electrotechnical Society 31(1), pp. 1-13.
• Aithal, A.et al. 2016. Impact of soft open point on feeder automation. Presented at: 2016 IEEE International Energy Conference (ENERGYCON), Leuven, 4-8 April 20162016 IEEE International Energy Conference (ENERGYCON). IEEE pp. 1-6., (10.1109/ENERGYCON.2016.7514101)
• Sami, S. S., Cheng, M. and Wu, J. 2016. Modelling and control of multi-type grid-scale energy storage for power system frequency response. Presented at: 2016 IEEE 8th International Power Electronics and Motion Control Conference (IPEMC-ECCE Asia), 22-26 May 20162016 IEEE 8th International Power Electronics and Motion Control Conference (IPEMC-ECCE Asia). pp. 269., (10.1109/IPEMC.2016.7512297)
• Abeysekera, M., Jenkins, N. and Wu, J. 2016. Integrated energy systems: an overview of benefits, analysis, research gaps and opportunities. HubNet.

2015

• Chaudry, M.et al. 2015. Uncertainties in decarbonising heat in the UK. Energy Policy 87, pp. 623-640. (10.1016/j.enpol.2015.07.019)
• Jenkins, N., Long, C. and Wu, J. 2015. An overview of the smart grid in Great Britain. Engineering 1(4), pp. 413-421., article number: 2015112. (10.15302/J-ENG-2015112)
• Abeysekera, M. and Wu, J. 2015. Method for simultaneous power flow analysis in coupled multi-vector energy networks. Energy Procedia 75, pp. 1165-1171. (10.1016/j.egypro.2015.07.551)
• Abeysinghe Herath Mudiyanselage, S. M.et al. 2015. Impact of electrolysis on the connection of distributed generation. Energy Procedia 75, pp. 1159-1164. (10.1016/j.egypro.2015.07.547)
• Wang, M.et al. 2015. An efficient power plant model of electric vehicles for unit commitment of large scale wind farms. Energy Procedia 75, pp. 1059-1064. (10.1016/j.egypro.2015.07.471)
• Nan, X., Abeysekera, M. and Wu, J. 2015. Modelling of energy demand in a modern domestic dwelling. Energy Procedia 75, pp. 1803-1808. (10.1016/j.egypro.2015.07.148)
• Wang, C.et al. 2015. Robust-index method for household load scheduling considering uncertainties of customer behavior. IEEE Transactions on Smart Grid 6(4), pp. 1806-1818. (10.1109/TSG.2015.2403411)
• Adeuyi, O. D. and Wu, J. 2015. The North Sea Grid. Proceedings of the Institution of Civil Engineers - Energy 168(3), pp. 160-165. (10.1680/ener.14.00027)
• Meng, J.et al. 2015. Dynamic frequency response from electric vehicles in the Great Britain power system. Journal of Modern Power Systems and Clean Energy 3(2), pp. 203-211. (10.1007/s40565-015-0124-0)
• Qadrdan, M.et al. 2015. Role of power-to-gas in an integrated gas and electricity system in Great Britain. International Journal of Hydrogen Energy 40(17), pp. 5763-5775. (10.1016/j.ijhydene.2015.03.004)
• Pirouti, M.et al. 2015. Minimisation of the capital costs and energy usage in a district heating network. Proceedings of the Institution of Mechanical Engineers, Part A: Journal of Power and Energy 229(3), pp. 337-347. (10.1177/0957650914563816)
• Wang, C.et al. 2015. Accurate dense output formula for exponential integrators using the scaling and squaring method. Applied Mathematics Letters 43, pp. 101-107. (10.1016/j.aml.2014.12.008)
• Wang, M.et al. 2015. A preventive control strategy for static voltage stability based on an efficient power plant model of electric vehicles. Journal of Modern Power Systems and Clean Energy 3(1), pp. 103-113. (10.1007/s40565-014-0092-9)
• Wang, C.et al. 2015. EMTP-type program realization of Krylov subspace based model reduction methods for large-scale active distribution network. CSEE Journal of Power and Energy Systems 1(1), pp. 52-60. (10.17775/CSEEJPES.2015.00007)
• Wang, C.et al. 2015. Model order reduction for transient simulation of active distribution networks. IET Generation, Transmission and Distribution 9(5), pp. 457-467. (10.1049/iet-gtd.2014.0219)
• Olanrewaju, O. T.et al. 2015. Vulnerability assessment of the European natural gas supply. Proceedings of the Institution of Civil Engineers - Energy 168(1), pp. 5-15. (10.1680/ener.14.00020)
• Nistor, S.et al. 2015. Capability of smart appliances to provide reserve services. Applied Energy 138, pp. 590-597. (10.1016/j.apenergy.2014.09.011)
• Li, B., Duan, Z. and Wu, J. 2015. Short-circuit analysis of pumped storage unit during back-to-back starting. IET Renewable Power Generation 9(2), pp. 99. (10.1049/iet-rpg.2013.0419)
• Wang, C.et al. 2015. SNOP-based operation optimization and analysis of distribution networks. Automation of Electric Power Systems 9, pp. 85-87.
• Liu, X., Mancarella, P. and Wu, J. 2015. A tool for integrated analysis of multi-vector district energy networks. Presented at: 2015 IEEE Eindhoven PowerTech, Eindhoven, The Netherlands, 29 June - 2 July 20152015 IEEE Eindhoven PowerTech. , (10.1109/PTC.2015.7232647)

2014

• Mu, Y.et al. 2014. A Spatial-Temporal model for grid impact analysis of plug-in electric vehicles. Applied Energy 114, pp. 456-465. (10.1016/j.apenergy.2013.10.006)
• Drysdale, B., Wu, J. and Jenkins, N. 2014. Flexible demand in the GB domestic electricity sector in 2030. Applied Energy (10.1016/j.apenergy.2014.11.013)
• Chaudry, M.et al. 2014. Combined gas and electricity network expansion planning. Applied Energy 113, pp. 1171-1187. (10.1016/j.apenergy.2013.08.071)
• Qadrdan, M.et al. 2014. Operating strategies for a GB integrated gas and electricity network considering the uncertainty in wind power forecasts. IEEE Transactions on Sustainable Energy 5(1), pp. 128-138. (10.1109/TSTE.2013.2274818)
• Rees, M.et al. 2014. Carbon constrained design of energy infrastructure for new build schemes. Applied Energy 113, pp. 1220-1234. (10.1016/j.apenergy.2013.08.059)
• Liu, X.et al. 2014. Combined analysis of electricity and heat networks. Presented at: The 6th International Conference on Applied Energy, ICAE2014, Taipei, Taiwan, 30 May-2 June 2014.
• Adhikari, D., Wu, J. and O'Malley, G. 2014. Real time closed-loop test rig for decentralized control of smart distribution networks. Presented at: International Conference on Applied Energy, ICAE 2014, Taipei, Taiwan, 30 May -2 June 2014.
• Abeysekera, M., Rees, M. and Wu, Z. 2014. Simulation and analysis of gas networks with decentralized fuel injection. Presented at: International Conference on Applied Energy, ICAE 2014, Taipei, Taiwan, 30 May -2 June 2014.
• Abeysekera, M., Rees, M. and Wu, J. 2014. Simulation and analysis of low pressure gas networks with decentralized fuel injection. Energy Procedia 61, pp. 402-406. (10.1016/j.egypro.2014.11.1135)

2013

• Chaudry, M., Wu, J. and Jenkins, N. 2013. A sequential Monte Carlo model of the combined GB gas and electricity network. Energy Policy 62, pp. 473-483. (10.1016/j.enpol.2013.08.011)
• Pirouti, M.et al. 2013. Energy consumption and economic analyses of a district heating network. Energy 57, pp. 149-159. (10.1016/j.energy.2013.01.065)
• Drysdale, B., Wu, J. and Jenkins, N. 2013. Flexible Demand in the GB Domestic Electricity Sector in 2030. Presented at: The 5th International Conference on Applied Energy (ICAE2013), Pretoria, South Africa, 1-4 July 2013.
• Mu, Y.et al. 2013. Primary frequency response from electric vehicles in the Great Britain power system. IEEE Transactions on Smart Grid 4(2), pp. 1142-1150. (10.1109/TSG.2012.2220867)
• Cheng, M.et al. 2013. Primary frequency response in the Great Britain power system from dynamically controlled refrigerators. Presented at: CIRED 2013, Stockholm, Sweden, 10-13 June 2013.
• Wu, J., He, Y. and Jenkins, N. 2013. A robust state estimator for medium voltage distribution networks. IEEE Transactions on Power Systems 28(2), pp. 1008-1016. (10.1109/TPWRS.2012.2215927)
• Qadrdan, M., Ghodsi, M. and Wu, J. 2013. Probabalistic wind power forecasting using a single forecast. International Journal of Energy and Statistics 1(2), pp. 99. (10.1142/S2335680413500075)
• Nistor, S.et al. 2013. Capability of smart appliances to provide reserve services. Presented at: The 5th International Conference on Applied Energy, ICAE2013, Pretoria, South Africa, 1-4 July 2013.
• Nistor, S., Wu, J. and Sooriyabandara, M. 2013. The impact and opportunities of smart appliances on distribution networks. Presented at: 2013 IEEE ISGT Europe, Lyngby, Denmark, 6-9 October 2013Innovative Smart Grid Technologies Europe (ISGT EUROPE), 2013 4th IEEE/PES. Picastaway, NJ: IEEE pp. 1-4., (10.1109/ISGTEurope.2013.6695479)
• Adeuyi, O. D., Jenkins, N. and Wu, J. 2013. Topologies of the North Sea super grid. Presented at: UPEC 2013, Dublin, 2-5 September 2013Power Engineering Conference (UPEC), 2013 48th International Universities'. Picastaway, NJ: IEEE pp. 1-6., (10.1109/UPEC.2013.6714967)
• Sweet, T.et al. 2013. Case study vs simulation data for a grid-connected 2.45kWp PV system. Presented at: 9th Photovoltaic Science Application and Technology (PVSAT-9) Conference and Exhibition, Swansea, Wales, 10-12 April 2013 Presented at Hutchins, M. G., Cole, A. and Watson, T. M. eds.9th photovoltaic science, applications and technology conference PVSAT-9. Abingdon: Solar Enegry Society pp. 41-44.
• Wu, Z. and Wu, J. 2013. Feasibility study of district heating with CHP, thermal store and heat pump. Presented at: IET Renewable Power Generation Conference 2013, Beijing, China, 9-11 September 2013Renewable Power Generation Conference (RPG 2013), 2nd IET. IET Conference Publications Vol. 623. Institution of Engineering and Technology pp. 1-4., (10.1049/cp.2013.1775)

2012

• Pirouti, M.et al. 2012. Selection of optimal pipe diameters in a district heating network using minimisation of annual total energy and exergy consumption. Presented at: The 13th International Symposium on District Heating and Cooling, Copenhagen, Denmark, 3-4 September 201213th international symposium on district heating and cooling. District Energy Development Center pp. 175-181.
• Gu, C., Wu, J. and Li, F. 2012. Reliability-based distribution network pricing. IEEE Transactions on Power Systems 27(3), pp. 1646-1655. (10.1109/TPWRS.2012.2187686)
• Thomas, L.et al. 2012. Control of electricity networks using smart meter data. Presented at: International Council on Large Electric Systems - CIGRE 2012, Paris, France, 26-31 August 2012.
• Hatziargyriou, N.et al. 2012. Impact of electric and plug-in hybrid vehicles on grid infrastructure - results from the MERGE project. Presented at: International Council on Large Electric Systems - CIGRE 2012, Paris, France, 26-31 August 2012.
• Pirouti, M.et al. 2012. Optimal operation of a district heating system. Presented at: 7th Conference On Sustainable Development Of Energy, Water And Environment Systems, Ohrid, Republic of Macedonia, 1-7 July 2012.
• Pirouti, M.et al. 2012. Optimisation of supply temperature and mass flow rate for a district heating network. Presented at: ECOS 2012 - International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems, Perugia, Italy, 26-29 June 2012Proceedings of ECOS 2012 - The 25th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems. ECOS pp. 104(1) -104(12).
• Thomas, L. J.et al. 2012. Enabling distributed frequency response using smart meters. Presented at: IEEE PES Innovative Smart Grid Technologies Conference Europe, Berlin, Germany, 14-17 October 20122012 3rd IEEE PES Innovative Smart Grid Technologies Europe (ISGT Europe). Piscataway, N.J: IEEE pp. 1-5., (10.1109/ISGTEurope.2012.6465651)
• Xiaodong, C., Wu, J. and Yalong, L. 2012. Temporal distribution model for analyzing charging characteristics of dispersed battery systems. Power System Protection and Control 2012(23), pp. 120-125.

2011

• Rees, M. T.et al. 2011. A modular approach to integrated energy distribution system analysis. Presented at: 17th Power Systems Computation Conference, Stockholm, Sweden, 22-26 August 2011.
• Rees, M. T.et al. 2011. A modular approach to integrated energy distribution system analysis. Presented at: 17th Power Systems Computation Conference (PSCC'11), Stockholm, Sweden, 22-26 August 2011.
• Awad, N.et al. 2011. Integrated operation of an energy MicroGrid with islanded electricity network. Presented at: CIRED 2011: The 21st International Conference and Exhibition on Electricity Distribution, Frankfurt, Germany, 6-9 June 2011.
• Pirouti, M.et al. 2011. Optimal operation of biomass combined heat and power in spot market. Presented at: IEEE PES Trondheim PowerTech 2011, Trondheim, Norway, 19 - 23 June 2011.
• Wu, J., Ekanayake, J. and Samarakoon, K. 2011. Frequency response from electric vehicles. Presented at: The First International Conference on Smart Grids, Green Communications and IT Energy-aware Technologies, Venice/Mestre, Italy, 22-27 May 2011.
• Rees, M. T.et al. 2011. A total energy approach to integrated community infrastructure design. Presented at: 2011 IEEE Power and Energy Society General Meeting, Detroit, MI, USA., 24-28 July 20112011 IEEE Power and Energy Society General Meeting, Detroit, MI, 24-28 July 2011. Los Alamitos, CA: IEEE, (10.1109/PES.2011.6038976)
• Samarakoon, K.et al. 2011. Use of delayed smart meter measurements for distribution state estimation. Presented at: 2011 IEEE Power and Energy Society General Meeting, Detroit, MI, USA., 24-28 July 20112011 IEEE Power and Energy Society General Meeting, Detroit, MI, 24-28 July 2011. Los Alamitos, CA: IEEE, (10.1109/PES.2011.6039384)
• Qadrdan, M.et al. 2011. Impact of wind variability on GB gas and electricity supply. Presented at: Sustainable Energy Technologies (ICSET), 2010, Kandy, Sri Lanka, 6-9 December 2010IEEE International Conference on Sustainable Energy Technologies (ICSET), 2010. IEEE, (10.1109/ICSET.2010.5684953)
• Chaudry, M.et al. 2011. Smart metering and self-healing of distribution networks. Presented at: Sustainable Energy Technologies (ICSET) 2010, Kandy, Sri Lanka, 6-9 December 2010IEEE International Conference on Sustainable Energy Technologies (ICSET), 2010. IEEE, (10.1109/ICSET.2010.5684937)
• Nistor, S.et al. 2011. Cost optimization of smart appliances. Presented at: 2011 2nd IEEE PES International Conference and Exhibition on Innovative Smart Grid Technologies (ISGT Europe), Manchester, UK, 5-7 December 2011Innovative Smart Grid Technologies (ISGT Europe), 2011 2nd IEEE PES International Conference and Exhibition on. IEEE pp. 1-3., (10.1109/ISGTEurope.2011.6162808)

2010

• Qadrdan, M.et al. 2010. Impact of a large penetration of wind generation on the GB gas network. Energy Policy 38(10), pp. 5684-5695. (10.1016/j.enpol.2010.05.016)
• He, Y.et al. 2010. ICT infrastructure for smart distribution networks. Presented at: 14th IEEE International Symposium on Power Line Communications and Its Applications, Rio de Janeiro, Brazil, 28-30 March 2010Proceedings of the 2010 IEEE International Symposium on Power Line Communications and Its Applications (ISPLC), Rio de Janeiro, Brazil, 28-31 March 2010. Los Alamitos, CA: IEEE pp. 319-324., (10.1109/ISPLC.2010.5479911)
• Sun, Q.et al. 2010. Comparison of the development of Smart Grids in China and the United Kingdom. Presented at: IEEE PES Conference on Innovative Smart Grid Technologies Europe, Göteborg, Sweden, 11-13 October 2010IEEE PES Conference on Innovative Smart Grid Technologies Europe, October 11-13, 2010, Gothenburg, Sweden. Los Alamitos, CA: IEEE, (10.1109/ISGTEUROPE.2010.5638885)
• Xiao, Z., Wu, J. and Jenkins, N. 2010. An overview of microgrid control. Intelligent Automation and Soft Computing 16(2), pp. 199-212.
• O'Malley, G., Wu, J. and Jenkins, N. 2010. Technical requirements of smart electric power distribution networks in the UK. Presented at: 2010 45th International Universities Power Engineering Conference (UPEC) 2010, Cardiff, Wales, UK, 31 August - 3 September 2010Proccedings of 45th International Universities Power Engineering Conference (UPEC) 2010. Los Alamitos, CA: IEEE
• Chaudry, M.et al. 2010. Economic impacts of wind generation variability on gas network operation. Presented at: 8th BIEE Academic Conference, Oxford, Oxford, UK, 22-23 September 2010Proceedings of the 8th British Institute of Energy Economics Academic Conference, September 22-23, 2010 (Oxford, UK). British Institute of Energy Economics
• Qadrdan, M.et al. 2010. Impact of wind variability on GB gas and electricity supply. Presented at: IEEE International Conference on Sustainable Energy Technologies (ICSET), Kandy, Sri Lanka, 6-9 December 2010Sustainable Energy Technologies (ICSET), 2010 IEEE International Conference. Piscataway: IEEE pp. 1-6., (10.1109/ICSET.2010.5684953)

2009

• Qadrdan, M., Chaudry, M. and Wu, J. 2009. Vulnerability Analysis of the Integrated Energy Infrastructure. Presented at: Proceedings of the 44th International Universities Power Engineering Conference (UPEC2009), Glasgow, UK.
• Rees, M. T., Wu, J. and Awad, B. 2009. Steady State Flow Analysis for Integrated Urban Heat and Power Distribution Networks. Presented at: Proceedings of the 44th International Universities Power Engineering Conference (UPEC2009), Glasgow, UK.

2008

• Awad, B., Wu, J. and Jenkins, N. 2008. Control of distributed generation. E&I Elektrotechnik und Informationstechnik 125(12), pp. 409-414. (10.1007/s00502-008-0591-3)
• Wu, J. and Jenkins, N. 2008. Self-adaptive and robust method for distribution network load and state estimation. Presented at: 16th Power Systems Computation Conference (PSCC'08), Glasgow, USA. pp. 1-7.
• Wu, J. 2008. Analogism-based self-adaptive supply restoration of medium-voltage disribution networks. Presented at: 7th World Congress on Intelligent Control and Automation, 2008. WCICA, Los Angeles, CA, USA, 25-27 June 2008Proceedings of the World Congress on Intelligent control and Automation (WCICA). pp. 2583-2588.

2007

• Wu, J. and Yu, Y. 2007. Self-adaptive load estimation method for distribution networks. Proceedings of the CSU-EPSA 19(1), pp. 25-30.
• Wu, J. and Jenkins, N. 2007. State-of-the-art of the service restoration problem. Project Report.
• Wu, J., Ekanyane, J. and Jenkins, N. 2007. Implications for the UK of CVPP and TVPP. Project Report.
• Yu, Y.et al. 2007. Framework of security region based probabilistic security assessment for power transmission system. Journal of Tianjin University 40(6), pp. 699-703.
• Kondoh, J.et al. 2007. Load management on small-scale customers. Presented at: Technical Meeting on Metabolism Society and Environmental Systems.

2006

• Feng, Z.et al. 2006. Intercept method for determining practical dynamic security regions of electrical power systems. Power System Technology 30(6), pp. 18-22.
• Wu, J. and Yu, Y. 2006. Cognitive methodology and its applications in power systems. Proceedings of the CSU-EPSA 18(3), pp. 1-6.
• Wei, W.et al. 2006. Development of power system voltage stability region (PSVSR) for static voltage security assessment. Presented at: International Conference on Power System Technology, Chongqing, China. pp. 1-6.
• Wu, J. and Yu, Y. 2006. A novel method for online nodal load estimation of middle voltage distribution network. Presented at: Proceedings of the 6th World Congress on Intelligent Control and Automation, Dalian, China, Vol. 2. pp. 7622-7626.
• Wu, J. and Yu, Y. 2006. CBR-based load estimation for distribution networks. Presented at: 2006 IEEE Mediterranean Electrotechnical Conference, Málaga, Spain. pp. 952-955.
• Wu, J. and Yixin, Y. 2006. Robust state estimation for distribution networks with generation. Presented at: China International Conference on Electricity Distribution 2006, Beijing, China, 17- 20 September 2006China International Conference on Electricity Distribution 2006: September 17-20, 2006, Beijing, China. IET Conference Publications Vol. 527. Stevenage, UK: Institution of Engineering and Technology pp. 929-932.

2005

• Wang, D.et al. 2005. Security region based probabilistic security assessment of power transmission system. Presented at: Proceedings of IEEE/PES Transmission and Distribution Conference, Dalian, China. pp. 1-5.
• Wu, J. and Yu, Y. 2005. Connectionism-based CBR method for distribution short-term nodal load forecasting. Presented at: TENCON 2005, Melbourne, Australia, 21-24 November 2005Tencon 2005 - 2005 IEEE Region 10 Conference, Melbourne, Australia, 21-24 November 2005. Piscataway, NJ: IEEE pp. 1302-137., (10.1109/TENCON.2005.301217)

2004

• Wu, J. and Yu, Y. 2004. Cognitive architecture of distribution management system. Automation of Electric Power Systems 28(19), pp. 42-47.
• Yu, Y. and Wu, J. 2004. CBRFNN-based short-term nodal load forecasting for middle voltage distribution networks. Proceedings of the Chinese Society of Electrical Engineering 25(12), pp. 18-23.
• Wu, J. and Yu, Y. 2004. A new method for snapshot and time-varying distribution network reconfiguration. Presented at: 5th World Congress on Intelligent Control and Automation (Wcica 2004), Hangzhou, China, Vol. Vol 6. pp. 5069-5073.

2003

• Wu, J. and Yu, Y. 2003. An efficient algorithm for distribution network service restoration. Power System Technology 27(10), pp. 83-86.
• Wu, J. and Yu, Y. 2003. Global optimization algorithm to time-varying reconfiguration for operation cost minimization. Proceedings of the Chinese Society of Electrical Engineering 23(11), pp. 13-17.

2002

• Yu, Y. and Wu, J. 2002. Loads combination method based core schema genetic shortest-path algorithm. Presented at: 2002 International Conference on Power System Technology, Kunming, China, Vol. 3. pp. 1729-1733.

2001

• Wu, J., Ge, S. and Yu, Y. 2001. Component-based design and implementation of distribution network information management system. Automation of Electric Power Systems 25(11), pp. 49-51.