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Number of items: 12.

Hua, Weiqi, Jiang, Jing, Sun, Hongjian, Tonello, Andrea M., Qadrdan, Meysam and Wu, Jianzhong 2022. Data-driven prosumer-centric energy scheduling using convolutional neural networks. Applied Energy 308 , 118361. 10.1016/j.apenergy.2021.118361

Hua, Weiqi, Jiang, Jing, Sun, Hongjian and Wu, Jianzhong 2020. A blockchain based peer-to-peer trading framework integrating energy and carbon markets. Applied Energy 279 , 115539. 10.1016/j.apenergy.2020.115539

Hua, Weiqi 2020. Smart grid enabling low carbon future power systems towards prosumers era. PhD Thesis, Durham University.
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Hua, Weiqi, Li, Dan, Sun, Hongjian and Matthews, Peter 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
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Hua, Weiqi, You, Minglei and Sun, Hongjian 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 2019. 2019 IEEE/CIC International Conference on Communications Workshops in China (ICCC Workshops). IEEE, pp. 204-209. 10.1109/ICCChinaW.2019.8849941

Hua, Weiqi and Sun, Hongjian 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 2019. 2019 International Conference on Smart Energy Systems and Technologies (SEST). IEEE, pp. 1-6. 10.1109/SEST.2019.8849111

Gao, Tao, Wulan, Wulan, Yang, Zelong, Gao, Jing, Hua, Weiqi, Yang, Peng and Si, Yaobing 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, Minglei, Hua, Weiqi, Shahbazi, Mahmoud and Sun, Hongjian 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 2018. 2018 IEEE/CIC International Conference on Communications in China (ICCC Workshops). IEEE, pp. 196-200. 10.1109/ICCChinaW.2018.8674468

Hua, Weiqi, Sun, Hongjian, Xiao, Hao and Pei, Wei 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 2018. 2018 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm). IEEE, pp. 1-6. 10.1109/SmartGridComm.2018.8587583

Hua, Weiqi, Li, Dan, Sun, Hongjian, Matthews, Peter and Meng, Fanlin 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
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Li, Dan, Hua, Weiqi, Sun, Hongjian and Chiu, Wei-Yu 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. Elsevier, pp. 2089-2094. 10.1016/j.egypro.2017.12.581
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Hua, Weiqi, Li, Dan, Sun, Hongjian and Peter, Matthews 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 2017. 2017 International Smart Cities Conference (ISC2). IEEE, pp. 1-6. 10.1109/ISC2.2017.8090810

This list was generated on Fri Jan 28 07:16:28 2022 GMT.