Using a deep temporal convolutional network as a building energy surrogate model that spans multiple climate zones
Paul Westermann, Matthias Welzel, Ralph Evins
Topics & Concepts
Surrogate modelConvolutional neural networkBuilding energy simulationComputer scienceProcess (computing)Sensitivity (control systems)Model buildingBuilding designBuilding modelMachine learningArtificial neural networkEfficient energy useArtificial intelligenceSimulationEngineeringArchitectural engineeringQuantum mechanicsElectronic engineeringPhysicsElectrical engineeringOperating systemEnergy performanceBuilding Energy and Comfort OptimizationWind and Air Flow StudiesEnergy Efficiency and Management