A Method for Short-Term Wind Power Prediction With Multiple Observation Points

Author:

Khalid Muhammad,Savkin Andrey V.

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology

Cited by 104 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Time-Series Embeddings from Language Models: A Tool for Wind Direction Nowcasting;Journal of Meteorological Research;2024-06

2. Using a hybrid approach for wind power forecasting in Northwestern Mexico;Atmósfera;2023-10-30

3. Multi-modal multi-step wind power forecasting based on stacking deep learning model;Renewable Energy;2023-10

4. Wind Power Forecasting Based on Adaptive Spatio-Temporal Graph Neural Network;2023 7th International Conference on Smart Grid and Smart Cities (ICSGSC);2023-09-22

5. Multi-step short-term wind power prediction based on spatio-temporal graph convolutional networks;2023 6th International Conference on Renewable Energy and Power Engineering (REPE);2023-09-15

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