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Narrowing uncertainties in forecasting urban building energy demand through an optimal archetyping method

Mansoureh Gholami, Daniele Torreggiani, Patrizia Tassinari, Alberto Barbaresi

2021Renewable and Sustainable Energy Reviews30 citationsDOIOpen Access PDF

Topics & Concepts

ArchetypeProcess (computing)CalibrationComputer science3D city modelsSampling (signal processing)Variable (mathematics)GaussianEnergy (signal processing)Data miningTask (project management)Energy demandGaussian processIndustrial engineeringEngineeringMathematicsStatisticsSystems engineeringOperating systemVisualizationArtComputer visionQuantum mechanicsFilter (signal processing)PhysicsMathematical analysisNatural resource economicsLiteratureEconomicsBuilding Energy and Comfort OptimizationEnergy Efficiency and ManagementEnergy Load and Power Forecasting
Narrowing uncertainties in forecasting urban building energy demand through an optimal archetyping method | Litcius