Improving the accuracy and interpretability of multi-scenario building energy consumption prediction considering characteristics of training dataset
Haizhou Fang, Hongwei Tan, Xiaolei Yuan, Xiaojie Lin, Dafang Zhao, Risto Kosonen
Topics & Concepts
InterpretabilityTraining (meteorology)Energy consumptionComputer scienceConsumption (sociology)Machine learningEnergy (signal processing)Training setArtificial intelligenceData miningEngineeringStatisticsMathematicsGeographyMeteorologySocial scienceSociologyElectrical engineeringBuilding Energy and Comfort OptimizationEnergy Load and Power ForecastingAir Quality Monitoring and Forecasting