Investigating adaptive sampling strategies for optimal building energy performance using artificial neural networks and kriging surrogate models
Salma Lahmar, Mostafa Maalmi, Rachida Idchabani
Topics & Concepts
Adaptive samplingKrigingSampling (signal processing)Surrogate modelComputer scienceArtificial neural networkMathematical optimizationEnergy (signal processing)Sample (material)Machine learningSelection (genetic algorithm)Artificial intelligenceStatisticsMathematicsMonte Carlo methodComputer visionChromatographyFilter (signal processing)ChemistryAdvanced Multi-Objective Optimization AlgorithmsBuilding Energy and Comfort OptimizationEnergy Efficiency and Management