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 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 these powe