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Lvqing Quan

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Articles

Wind power generation prediction model based on secondary reconstruction decomposition and CNN-Transformer-AcfPSO-BiLSTM in extreme weather conditions

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By Zifen Han, Peipei Yang, Zongyang Liu, Guodong Wu, Zhihua Xie, Shuiming Chen, Yi Tang, Lvqing Quan
| Nature Verified
Abstract Extreme weather can easily cause drastic fluctuations in renewable energy output, which seriously endangers the operational stability and power supply reliability of power systems. Existing ultra-short-term prediction methods struggle to accurately characterize the nonlinear dynamic features of renewable energy under extreme weather conditions.
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