Funder
Ministry of Science and Technology of the People's Republic of China
National Key Research and Development Program of China
National Natural Science Foundation of China
Key Research and Development Program of Hunan Province of China
Hunan Provincial Science and Technology Department
Subject
Artificial Intelligence,Computer Science Applications,General Engineering
Reference46 articles.
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2. Average monthly wind power forecasting using fuzzy approach;Akhtar;IEEE Access,2021
3. Multisource wind speed fusion method for short-term wind power prediction;An;IEEE Transactions on Industrial Informatics,2021
4. Chen, J., Zhu, Q., Li, H., Zhu, L., Shi, D., Li, Y., Duan, X., & Liu, Y. (2020). Learning heterogeneous features jointly: a deep end-to-end framework for multi-step short-term wind power prediction. IEEE Transactions on Sustainable Energy, 11(3), 1761-1772. 110.1109/TSTE.2019.2940590.
5. Augmented convolutional network for wind power prediction: A new recurrent architecture design with spatial-temporal image inputs;Cheng;IEEE Transactions on Industrial Informatics,2021