Uncertainty management in electricity demand forecasting with machine learning and ensemble learning: Case studies of COVID-19 in the US metropolitans
Mohammed Rashad Baker, Kamal H. Jihad, Hussein Al-bayaty, Ahmed Ghareeb, Hessein Ali, Jun‐Ki Choi, Qiancheng Sun
Topics & Concepts
Computer scienceCoronavirus disease 2019 (COVID-19)Power demandPower (physics)Work (physics)Artificial intelligenceElectricityPandemicOperations researchMachine learningRange (aeronautics)Demand forecastingEnvironmental economicsPower consumptionEconomicsDiseasePhysicsQuantum mechanicsMedicinePathologyMechanical engineeringEngineeringMaterials scienceElectrical engineeringComposite materialInfectious disease (medical specialty)Energy Load and Power ForecastingAir Quality Monitoring and ForecastingForecasting Techniques and Applications