Wind speed forecasting based on model selection, fuzzy cluster, and multi-objective algorithm and wind energy simulation by Betz's theory
作者：
Highlights：
• A wind speed forecasting and wind energy simulation management system developed.
• A robust novel hybrid system based on three modular is proposed.
• A multi-objective optimization algorithm is developed to optimize the parameters.
• The model selection module searches the optimal forecasting values.
• The conversion of wind power to electric energy had been discussed.
摘要
•A wind speed forecasting and wind energy simulation management system developed.•A robust novel hybrid system based on three modular is proposed.•A multi-objective optimization algorithm is developed to optimize the parameters.•The model selection module searches the optimal forecasting values.•The conversion of wind power to electric energy had been discussed.
论文关键词：Modified multi-objective algorithm,Fuzzy c-means cluster,Model selection strategy,Betz's theory,Wind speed forecasting
论文评审过程：Received 26 July 2021, Revised 6 October 2021, Accepted 2 January 2022, Available online 15 January 2022, Version of Record 18 January 2022.
论文官网地址：https://doi.org/10.1016/j.eswa.2022.116509
