He is currently a Lecturer with the School of Electrical and Power Engineering, Hohai University. His research interests include renewable energy integrated power systems, and artificial intelligence
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Solar photovoltaic power plays a vital role in global renewable energy power generation, and an accurate solar power forecast can further promote applications in integrated power...
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The model can be applied to PV plants or arrays in different areas, suitable for forecast horizons within three hours.
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His research interests include renewable energy integrated power systems, and artificial intelligence technologies for smart grids. He is also now preparing for a research visit to the Green Energy
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This study re-estimated the installed potential of centralized large-scale and distributed small-scale photovoltaic power stations in 449 prefecture-level cities in China based on a geographic information
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Lilin Photovoltaic Power Generation Project is the first distributed photovoltaic power generation project in Xiamen to start construction since Huaneng Fujian Company implemented the
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Day-ahead photovoltaic power forecasting approach based on deep convolutional neural networks and meta learning International Journal of Electrical Power and Energy Systems
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Based on the results, the aim of this study is to increase confidence of deep-learning-based intelligent models into the practical engineering utilization of solar power forecasting.
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