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Machine learning modelling for predicting non-domestic buildings energy performance: A model to support deep energy retrofit decision-making

Saleh Seyedzadeh, Farzad Pour Rahimian, Stephen Oliver, Sergio Rodríguez, Ivan Glesk

2020Applied Energy153 citationsDOIOpen Access PDF

Topics & Concepts

Energy (signal processing)Energy modelingArchitectural engineeringEngineeringComputer scienceDecision-making modelsArtificial intelligenceEfficient energy useStatisticsElectrical engineeringMathematicsBuilding Energy and Comfort OptimizationEnergy Efficiency and ManagementEnergy Load and Power Forecasting
Machine learning modelling for predicting non-domestic buildings energy performance: A model to support deep energy retrofit decision-making | Litcius