EALSTM-QR: Interval wind-power prediction model based on numerical weather prediction and deep learning
Xiaosheng Peng, Hongyu Wang, Jianxun Lang, Wenze Li, Qiyou Xu, Zuowei Zhang, Tao Cai, Shanxu Duan, Fangjie Liu, Chaoshun Li
Topics & Concepts
Numerical weather predictionWind power forecastingArtificial neural networkWind powerPrediction intervalPredictive modellingWind speedComputer scienceInterval (graph theory)MeteorologyPower (physics)Deep learningArtificial intelligenceElectric power systemMachine learningEngineeringMathematicsGeographyElectrical engineeringQuantum mechanicsPhysicsCombinatoricsEnergy Load and Power ForecastingWind Energy Research and DevelopmentSolar Radiation and Photovoltaics