Cyhoeddiadau
2023
2022
- Zhou, Y., Manea, A., Hua, W., Wu, J., Zhou, W., Yu, J. and Rahman, S. 2022. Application of distributed ledger technology in distribution networks. Proceedings of the IEEE 110(12), pp. 1963-1975. (10.1109/JPROC.2022.3181528)
- Jing, R., Hua, W., Lin, J., Lin, J., Zhao, Y., Zhou, Y. and Wu, J. 2022. Cost-efficient decarbonization of local energy systems by whole-system based design optimization. Applied Energy 326, article number: 119921. (10.1016/j.apenergy.2022.119921)
- Hua, W., Jiang, J., Sun, H., Tonello, A. M., Qadrdan, M. and Wu, J. 2022. Data-driven prosumer-centric energy scheduling using convolutional neural networks. Applied Energy 308, article number: 118361. (10.1016/j.apenergy.2021.118361)
2020
- Hua, W., Jiang, J., Sun, H. and Wu, J. 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)
- Hua, W. 2020. Smart grid enabling low carbon future power systems towards prosumers era. PhD Thesis, Durham University.
- Hua, W., Li, D., Sun, H. and Matthews, P. 2020. Stackelberg game-theoretic model for low carbon energy market scheduling. IET Smart Grid 3(1), pp. 31-41. (10.1049/iet-stg.2018.0109)
2019
- Hua, W., You, M. and Sun, H. 2019. Real-time price elasticity reinforcement learning for low carbon energy hub scheduling based on conditional random field. Presented at: 2019 IEEE/CIC International Conference on Communications Workshops in China (ICCC Workshops), Changchun, China, 11-13 August 20192019 IEEE/CIC International Conference on Communications Workshops in China (ICCC Workshops). IEEE pp. 204-209., (10.1109/ICCChinaW.2019.8849941)
- Hua, W. and Sun, H. 2019. A blockchain-based peer-to-peer trading scheme coupling energy and carbon market. Presented at: 2nd International Conference on Smart Energy Systems and Technologies (SEST 2019), Porto, Portugal, 9-11 September 20192019 International Conference on Smart Energy Systems and Technologies (SEST). IEEE pp. 1-6., (10.1109/SEST.2019.8849111)
- Gao, T., Wulan, W., Yang, Z., Gao, J., Hua, W., Yang, P. and Si, Y. 2019. A seasonal forecast scheme for the Inner Mongolia spring drought part-II: a logical reasoning evidence-based method for spring predictions. Theoretical and Applied Climatology 136(1-2), pp. 703-715. (10.1007/s00704-018-2517-2)
- You, M., Hua, W., Shahbazi, M. and Sun, H. 2019. Energy hub scheduling method with voltage stability considerations. Presented at: 2018 IEEE/CIC International Conference on Communications in China (ICCC Workshops), Beijing, China, 16-18 August 20182018 IEEE/CIC International Conference on Communications in China (ICCC Workshops). IEEE pp. 196-200., (10.1109/ICCChinaW.2018.8674468)
2018
- Hua, W., Sun, H., Xiao, H. and Pei, W. 2018. Stackelberg game - theoretic strategies for virtual power plant and associated market scheduling under smart grid communication environment. Presented at: 2018 EEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm), Aalborg, Denmark, 29-31 October 20182018 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm). IEEE pp. 1-6., (10.1109/SmartGridComm.2018.8587583)
- Hua, W., Li, D., Sun, H., Matthews, P. and Meng, F. 2018. Stochastic environmental and economic dispatch of power systems with virtual power plant in energy and reserve markets. International Journal of Smart Grid and Clean Energy 7(4), pp. 231-239. (10.12720/sgce.7.4.231-239)
2017
- Li, D., Hua, W., Sun, H. and Chiu, W. 2017. Multiobjective optimization for carbon market scheduling based on behavior learning. Presented at: 9th International Conference on Applied Energy (ICAE2017), Cardiff, Wales, 21-24 August 2017, Vol. 142. Elsevier pp. 2089-2094., (10.1016/j.egypro.2017.12.581)
- Hua, W., Li, D., Sun, H. and Peter, M. 2017. Unit commitment in achieving low carbon smart grid environment with virtual power plant. Presented at: 2017 International Smart Cities Conference (ISC2), Wuxi, China, 14-17 September 20172017 International Smart Cities Conference (ISC2). IEEE pp. 1-6., (10.1109/ISC2.2017.8090810)
Articles
- Hua, W., Zhou, Y., Qadrdan, M., Wu, J. and Jenkins, N. 2023. Blockchain enabled decentralized local electricity markets with flexibility from heating sources. IEEE Transactions on Smart Grid 14(2), pp. 1607-1620. (10.1109/TSG.2022.3158732)
- Zhou, Y., Manea, A., Hua, W., Wu, J., Zhou, W., Yu, J. and Rahman, S. 2022. Application of distributed ledger technology in distribution networks. Proceedings of the IEEE 110(12), pp. 1963-1975. (10.1109/JPROC.2022.3181528)
- Jing, R., Hua, W., Lin, J., Lin, J., Zhao, Y., Zhou, Y. and Wu, J. 2022. Cost-efficient decarbonization of local energy systems by whole-system based design optimization. Applied Energy 326, article number: 119921. (10.1016/j.apenergy.2022.119921)
- Hua, W., Jiang, J., Sun, H., Tonello, A. M., Qadrdan, M. and Wu, J. 2022. Data-driven prosumer-centric energy scheduling using convolutional neural networks. Applied Energy 308, article number: 118361. (10.1016/j.apenergy.2021.118361)
- Hua, W., Jiang, J., Sun, H. and Wu, J. 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)
- Hua, W., Li, D., Sun, H. and Matthews, P. 2020. Stackelberg game-theoretic model for low carbon energy market scheduling. IET Smart Grid 3(1), pp. 31-41. (10.1049/iet-stg.2018.0109)
- Gao, T., Wulan, W., Yang, Z., Gao, J., Hua, W., Yang, P. and Si, Y. 2019. A seasonal forecast scheme for the Inner Mongolia spring drought part-II: a logical reasoning evidence-based method for spring predictions. Theoretical and Applied Climatology 136(1-2), pp. 703-715. (10.1007/s00704-018-2517-2)
- Hua, W., Li, D., Sun, H., Matthews, P. and Meng, F. 2018. Stochastic environmental and economic dispatch of power systems with virtual power plant in energy and reserve markets. International Journal of Smart Grid and Clean Energy 7(4), pp. 231-239. (10.12720/sgce.7.4.231-239)
Conferences
- Hua, W., You, M. and Sun, H. 2019. Real-time price elasticity reinforcement learning for low carbon energy hub scheduling based on conditional random field. Presented at: 2019 IEEE/CIC International Conference on Communications Workshops in China (ICCC Workshops), Changchun, China, 11-13 August 20192019 IEEE/CIC International Conference on Communications Workshops in China (ICCC Workshops). IEEE pp. 204-209., (10.1109/ICCChinaW.2019.8849941)
- Hua, W. and Sun, H. 2019. A blockchain-based peer-to-peer trading scheme coupling energy and carbon market. Presented at: 2nd International Conference on Smart Energy Systems and Technologies (SEST 2019), Porto, Portugal, 9-11 September 20192019 International Conference on Smart Energy Systems and Technologies (SEST). IEEE pp. 1-6., (10.1109/SEST.2019.8849111)
- You, M., Hua, W., Shahbazi, M. and Sun, H. 2019. Energy hub scheduling method with voltage stability considerations. Presented at: 2018 IEEE/CIC International Conference on Communications in China (ICCC Workshops), Beijing, China, 16-18 August 20182018 IEEE/CIC International Conference on Communications in China (ICCC Workshops). IEEE pp. 196-200., (10.1109/ICCChinaW.2018.8674468)
- Hua, W., Sun, H., Xiao, H. and Pei, W. 2018. Stackelberg game - theoretic strategies for virtual power plant and associated market scheduling under smart grid communication environment. Presented at: 2018 EEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm), Aalborg, Denmark, 29-31 October 20182018 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm). IEEE pp. 1-6., (10.1109/SmartGridComm.2018.8587583)
- Li, D., Hua, W., Sun, H. and Chiu, W. 2017. Multiobjective optimization for carbon market scheduling based on behavior learning. Presented at: 9th International Conference on Applied Energy (ICAE2017), Cardiff, Wales, 21-24 August 2017, Vol. 142. Elsevier pp. 2089-2094., (10.1016/j.egypro.2017.12.581)
- Hua, W., Li, D., Sun, H. and Peter, M. 2017. Unit commitment in achieving low carbon smart grid environment with virtual power plant. Presented at: 2017 International Smart Cities Conference (ISC2), Wuxi, China, 14-17 September 20172017 International Smart Cities Conference (ISC2). IEEE pp. 1-6., (10.1109/ISC2.2017.8090810)
Thesis
- Hua, W., Jiang, J., Sun, H. and Wu, J. 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)
- Hua, W. 2020. Smart grid enabling low carbon future power systems towards prosumers era. PhD Thesis, Durham University.
- Hua, W., Li, D., Sun, H. and Matthews, P. 2020. Stackelberg game-theoretic model for low carbon energy market scheduling. IET Smart Grid 3(1), pp. 31-41. (10.1049/iet-stg.2018.0109)
- Hua, W. and Sun, H. 2019. A blockchain-based peer-to-peer trading scheme coupling energy and carbon market. Presented at: 2nd International Conference on Smart Energy Systems and Technologies (SEST 2019), Porto, Portugal, 9-11 September 20192019 International Conference on Smart Energy Systems and Technologies (SEST). IEEE pp. 1-6., (10.1109/SEST.2019.8849111)
Supervision
Past projects