Photovoltaic Output Prediction Based on Improved Long Short-Term Memory Network Using White Shark Optimization Algorithm
Key Technologies for Large-Scale Renewable Energy Integration and Operation Control|更新时间:2025-10-13
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Photovoltaic Output Prediction Based on Improved Long Short-Term Memory Network Using White Shark Optimization Algorithm
“In the field of power systems, experts have proposed a photovoltaic power prediction model based on the white shark algorithm and LSTM network, optimizing parameters, improving prediction accuracy, and providing reference for stable system operation.”
Power Generation TechnologyVol. 46, Issue 4, Pages: 778-787(2025)
作者机构:
1.国网江苏省电力有限公司,江苏省 南京市 210008
2.国电南瑞科技股份有限公司, 江苏省 南京市 211106
作者简介:
基金信息:
National Nature Science Foundation of China(61933005)
YAN Chaoyang,LI Lanqing,XU Haojia,et al.Photovoltaic Output Prediction Based on Improved Long Short-Term Memory Network Using White Shark Optimization Algorithm[J].Power Generation Technology,2025,46(04):778-787.
YAN Chaoyang,LI Lanqing,XU Haojia,et al.Photovoltaic Output Prediction Based on Improved Long Short-Term Memory Network Using White Shark Optimization Algorithm[J].Power Generation Technology,2025,46(04):778-787. DOI: 10.12096/j.2096-4528.pgt.24028.
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