Modeling Residential Energy Consumption

Smart meters that allow information to flow between users and utility service providers are expected foster intelligent energy consumption. Previous studies focusing on demand-side management have been predominantly restricted factors utilities can manage manipulate, but ignored specific residential characteristics. They also often presume households consume similar amounts of electricity. To fill these gaps in literature, the authors investigate two research questions: (RQ1) Does a data mining approach outperform traditional statistical approaches for modelling consumption? (RQ2) What influence household identify clusters explore underlying central understanding electricity consumption behavior. Different carry contextual nuances needed fully The findings indicate be distributed according needs six distinct use analytics load profiles greater efficiency.