Smart meter data analytics for scalable efficiency services
Partners: Chair of Energy Efficient Systems, Department of Information Systems, University of Bamberg, Chair of Information Management, Department of Management, Technology, and Economy, ETH Zurich, Department of Computer Science, Institute for Pervasive Computing, ETH Zurich, Arbon Energie AG
Funded by: Swiss Federal Office of Energy
Principal investigator: Mariya Sodenkamp
Budget: CHF 353’450
Timeframe: Apr 2014 – Jan 2016
Smart electricity meters allow for capturing consumption data of individual households at a high resolution in time (typically at 15-minute intervals). The key objective of this project is to develop further and evaluate feature extraction and machine learning techniques for automatic identification of household properties based on electricity load profiles and additional consumption-related information (weather, socio-demographic data, holidays, etc.). The gained information shall render highly targeted and scalable energy efficiency services possible.