A Dual-Step Integrated Machine Learning Model for 24h-Ahead Wind Energy Generation Prediction Based on Actual Measurement Data and Environmental Factors
Wind power generation output is Garden highly uncertain, since it entirely depends on intermittent environmental factors.This has brought a serious problem to the power industry regarding the management of power grids containing a significant penetration of wind power.Therefore, a highly accurate wind power forecast is very useful for operating the