Funder
Ministry of Science and Technology of the People's Republic of China
State Grid Corporation of China
National Key Research and Development Program of China
Science and Technology Project of State Grid
Subject
General Energy,Pollution,Mechanical Engineering,Building and Construction,Electrical and Electronic Engineering,Industrial and Manufacturing Engineering,Civil and Structural Engineering
Reference36 articles.
1. Power transfer characteristics in fluctuation partition algorithm for wind speed and its application to wind power forecasting;Yang;Renew Energy,2023
2. Investigating black-box model for wind power forecasting using local interpretable model-agnostic explanations algorithm: why should a model be trusted?;Yang;CSEE Journal of Power and Energy Systems,2023
3. Forecasting models for wind speed using wavelet, wavelet packet, time series and Artificial Neural Networks;Liu;Appl Energy,2013
4. Study on the physical approach to wind power prediction;Feng;Proceedings of the CSEE,2010
5. Very short-term spatial and temporal wind power forecasting: a deep learning approach;Hu;CSEE Journal of Power and Energy Systems,2020
Cited by
2 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