Yan Xu | IEEE Xplore Author Details
Active Power Output,Apparent Power,Control Strategy,Energy Transmission,Grid Voltage,High-voltage Lines,Impedance Of The Transmission Line,Line Loss,Optimal Reactive
Yanxu Chen received the B.Sc. degree in electrical engineering and automation from Northwest Agriculture and Forestry University, Xianyang, China, in 2023. He is currently working toward the M.Sc. degree with the Department of Power Systems, China Agricultural University, Beijing, China. His research focuses on wind/solar power forecasting.
Despite China government has officially announced to prescribe renewable energy as the dominant source of power generation in the future (CFEAC, 2021), the potential contributions from wind and solar remain unclear.
A more comprehensive analysis incorporating up-to-date learning rates could infer future wind and solar power costs better and thus promote the achievement of green energy transition in China. In addition, the speed and scale of wind and solar power developments can be enhanced or impeded by government economic policies (Duan et al., 2021).
In 2050, China's electricity consumption is predicted to account for approximately one-quarter of the global electricity (BloombergNEF, 2019; IEA, 2020). That means the “green” transition of China's power system is indispensable to global carbon neutrality.
Active Power Output,Apparent Power,Control Strategy,Energy Transmission,Grid Voltage,High-voltage Lines,Impedance Of The Transmission Line,Line Loss,Optimal Reactive
Probabilistic forecasting of solar photovoltaic (PV) generation is critical for stochastic or robust optimisation-based power system dispatch.
Accurate solar photovoltaic (PV) generation forecast is critical to the reliable and economic operation of a modern power system. In practice, due to various faulty issues in the sensor
Yasser Abduallah, Jason T. Wang, Haimin Wang, Yan Xu. 2023. "Operational prediction of solar flares using a transformer-based framework ." Nature Scientific Reports, no. 13, pp. 13665. Ju
Cham Tao Soon Professor in Engineering, Nanyang Technological University, Singapore - Cited by 27,875 - Microgrids - Smart Grid - Power System Stability - AI for Power
1) stability and control of renewable-energy power systems 2) control, operation, and planning for microgrids and distributed energy resources (DERs) 3) AI and data-analytics for smart
Photovoltaic (PV) power generation has highly penetrated in distribution networks, providing clean and sustainable energy.
China''s goal of being carbon-neutral by 2060 requires a green electric power system dominated by renewable energy. However, the potential of wind and solar alone to power China
Dr. Xu Yan Position: Cham Tao Soon Professor in Engineering, College of Engineering Concurrent position: Director, Center for Power Engineering (CPE); Co-Director, SingaporePower
Biography Yanxu Chen received the B.Sc. degree in electrical engineering and automation from Northwest Agriculture and Forestry University, Xianyang, China, in 2023. He is
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