An Evaluation of NILM Approaches on Industrial Energy-Consumption Data
Florian Kalinke, Pawel Bielski, Snigdha Singh, Edouard Fouché, Klemens Böhm
Abstract
Load disaggregation methods infer the energy consumption of individual appliances from their aggregated consumption. This facilitates energy savings and efficient energy management. However, most existing work on load disaggregation has only considered household settings. This may be due to companies preferring to not share their data, rendering such data hardly available.
Topics & Concepts
Energy consumptionRendering (computer graphics)Computer scienceConsumption (sociology)Work (physics)Energy (signal processing)Energy managementEfficient energy useEnergy accountingData modelingEnvironmental economicsDatabaseEngineeringArtificial intelligenceEconomicsMathematicsSocial scienceElectrical engineeringMechanical engineeringStatisticsSociologySmart Grid Energy ManagementBuilding Energy and Comfort OptimizationGreen IT and Sustainability