Wind Power Forecasting Methods Based on Deep Learning: A Survey
Xing Deng, Haijian Shao, Chunlong Hu, Dengbiao Jiang, Yingtao Jiang
Abstract
Accurate wind power forecasting in wind farm can effectively reduce the enormous impact on grid operation safety when high permeability intermittent power supply is connected to the power grid. Aiming to provide reference s... | Find, read and cite all the research you need on Tech Science Press
Topics & Concepts
Wind powerPower gridGridWind power forecastingPower (physics)Computer scienceMeteorologyElectrical engineeringOperations researchReliability engineeringIndustrial engineeringEnvironmental economicsEnvironmental scienceAutomotive engineeringEngineeringElectric power systemEconomicsGeographyQuantum mechanicsPhysicsGeodesyEnergy Load and Power Forecasting