Data-driven interpretable ensemble learning methods for the prediction of wind turbine power incorporating SHAP analysis
Celal Çakıroğlu, Sercan Demir, Mehmet Hakan Özdemir, Batin Latif Aylak, Gencay Sarıışık, Laith Abualigah
Topics & Concepts
Wind powerWind speedRandom forestComputer scienceRenewable energyTurbineMetric (unit)AdaBoostData setMachine learningWind power forecastingArtificial intelligencePower (physics)MeteorologyElectric power systemSupport vector machineEngineeringQuantum mechanicsElectrical engineeringOperations managementMechanical engineeringPhysicsWind Energy Research and DevelopmentEnergy Load and Power ForecastingSolar Radiation and Photovoltaics