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Interpretable domain-informed and domain-agnostic features for supervised and unsupervised learning on building energy demand data

Ada Canaydin, Chun Fu, Attila Bálint, Mohamad Khalil, Clayton Miller, Hussain Kazmi

2024Applied Energy20 citationsDOI

Topics & Concepts

Computer scienceFeature (linguistics)Data miningEnergy (signal processing)Domain (mathematical analysis)DashboardMissing dataEnergy modelingData scienceMachine learningEfficient energy useEngineeringMathematicsElectrical engineeringLinguisticsMathematical analysisStatisticsPhilosophyEnergy Load and Power ForecastingBuilding Energy and Comfort OptimizationTime Series Analysis and Forecasting
Interpretable domain-informed and domain-agnostic features for supervised and unsupervised learning on building energy demand data | Litcius