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Research on an Ultra-Short-Term Wind Speed Prediction Method Based on Improved Combined Neural Networks
Power Generation Technology Vol. 45, Issue 2, Pages: 323-330(2024)
New Energy|Updated：2025-06-15
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Research on an Ultra-Short-Term Wind Speed Prediction Method Based on Improved Combined Neural Networks
- “In the field of wind power, experts have proposed an improved combination of neural networks for ultra short term wind speed prediction, which effectively improves the prediction accuracy.”
DOI：10.12096/j.2096-4528.pgt.22038
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Related Author
GAN Yunhua
WEI Shuai
ZHONG Weiwen
MAI Xiaofeng
CHEN Zheng’an
ZHAO Xuanhao
TAN Peng
WANG Xinyue
Related Institution
School of Electric Power Engineering, South China University of Technology
Guangdong Yudean Zhanjiang Biomass Power Co., Ltd.
Department of Thermal Energy and Power Engineering, School of Energy and Power Engineering, Huazhong University of Science and Technology
Shanghai Special Equipment Supervision and Inspection Institute, Putuo District
State Grid Xinjiang Electric Power Co., LTD., Urumqi Power Supply Company, Urumqi 830017, Xinjiang Uygur Autonomous Region
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