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Short-Term Wind Power Prediction Method Based on Multimodal Feature Extraction-Convolutional Neural Network-Long-Short Term Memory Network
Power Generation Technology Vol. 46, Issue 1, Pages: 93-102(2025)
New Energy|Updated：2026-06-29
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Short-Term Wind Power Prediction Method Based on Multimodal Feature Extraction-Convolutional Neural Network-Long-Short Term Memory Network
- “The research team proposed a wind power prediction method based on multi feature extraction convolutional neural network long short-term memory network, and verified that MFE and CNN can effectively improve prediction accuracy, laying the foundation for the construction of wind power prediction system.”
DOI：10.12096/j.2096-4528.pgt.23101
Revised：2023-12-18
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Related Author
SHI Hongsi
SUN Xinwei
WANG Kai
Xi ZHANG
Zhao YANG
Jun ZHANG
Zhengling YANG
Ruxue WAGN
Related Institution
Qingdao Rectifier Manufacturing Co., LTD.
School of Electrical Engineering, Qingdao University
Shandong Suoxiang Intelligent Technology Co., Ltd.
School of Electrical and Information Engineering, Tianjin University, Nankai District
Key Laboratory of Process Measurement and Control(Tianjin University), Nankai District
