Short-Term Wind Power Forecast Based on STL-IAOA-iTransformer Algorithm: A Case Study in Northwest China
Zhaowei Yang, Wenqi Liu, Miwei Li, Jiarong Wang, Bo Yang, Lin Jiang, Yiyan Sang, Zhenning Pan
Abstract
Accurate short-term wind power forecast technique plays a crucial role in maintaining the safety and economic efficiency of smart grids. Although numerous studies have employed various methods to forecast wind power, there re... | Find, read and cite all the research you need on Tech Science Press
Topics & Concepts
Term (time)MeteorologyAlgorithmEnvironmental scienceChinaWind powerClimatologyComputer scienceEngineeringGeographyGeologyPhysicsElectrical engineeringQuantum mechanicsArchaeologyEnergy Load and Power Forecasting