A combined forecasting system based on modified multi-objective optimization and sub-model selection strategy for short-term wind speed

Qingguo Zhou, Chen Wang, Gaofeng Zhang

Abstract: Highlights•The proposed hybrid system based on modified multi-objective optimization algorithm. Model selection strategy is used to select the optimal sub-models for combined model. The multi wind speed time series is forecasted by the correlation of each turbines. Test functions were implemented to prove the accuracy of the proposed combined system.