ISSN 2196-5625 CN 32-1884/TK
Yan Zhou
College of Energy and Electrical Engineering, Hohai University, Nanjing 210098, ChinaYonghui Sun
College of Energy and Electrical Engineering, Hohai University, Nanjing 210098, ChinaSen Wang
College of Energy and Electrical Engineering, Hohai University, Nanjing 210098, ChinaRabea Jamil Mahfoud
College of Energy and Electrical Engineering, Hohai University, Nanjing 210098, ChinaHassan Haes Alhelou
Department of Electrical Engineering, Tishreen University, Latakia 2230, SyriaNikos Hatziargyriou
National Technical University of Athens, Athens 15773, GreecePierluigi Siano
Department of Management & Innovation Systems, University of Salerno, Salerno 84084, Italy1.College of Energy and Electrical Engineering, Hohai University, Nanjing 210098, China;2.Department of Electrical Engineering, Tishreen University, Latakia 2230, Syria;3.National Technical University of Athens, Athens 15773, Greece;4.Department of Management & Innovation Systems, University of Salerno, Salerno 84084, Italy
This work was supported by the National Key R&D Program of China “Technology and Application of Wind Power/Photovoltaic Power Prediction for Promoting Renewable Energy Consumption” (No. 2018YFB0904200) and Complement S&T Program of State Grid Corporation of China (No. SGLNDKOOKJJS1800266).