Selected Research Projects
Smart Meter Data Analytics for the Mass Market Energy Services
Smart electricity meters allow capturing consumption load profiles of residential buildings. The goal of the project is to develop methods of machine learning that will automatically infer energy efficiency relevant household characteristics (e.g., type of heating, living area, number of inhabitants per dwelling, etc.) from the power load traces. The gained information can be used by utilities as a starting point for developing energy consulting services, and for optimisation of sales channels.
The project will result to a new methodology and a software that will be employed by the customers of our partner BEN Energy already in 2016.
Funded by Commission for Technology and Innovation, Switzerland
Principal investigator: Dr. Mariya Sodenkamp
Project duration: 01.05.2014 - 30.04.2016
- Chair of Information Management, Departement of Management, Technology, and Economics, ETH Zürich
- BEN Energy AG
Budget: CHF 442'560
Smart Meter Data Analytics for Automated Energy Consulting
Smart electricity meters allow for capturing consumption data of individual households at a high resolution in time (typically with 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. The gained information shall render highly targeted and scalable energy efficiency services possible.
Project manager: Dr. Mariya Sodenkamp
Project duration: 01.04.2014 - 31.01.2016
- Arbon Energie AG, Schweiz
- Chair of Information Management, Department of Management, Technology, and Economics, ETH Zurich
Budget: CHF 353'450
The EU Project DAIAD deals with the structure and the testing of an IT infrastructure in order to capture and analyze the consumption of (warm) water in private households. In association with Amphiro AG (CH), WaterWise (UK), the Athena Research (GR), the Frauenhofer Institute for “Systems and Innovation Research” and the City of Athens, the research group from Bamberg tests concepts for motivating sustainable consumer behavior.
Data Analytics for Customer Segmentation and Engagement
Customer satisfaction and confidence are the corner stones of long-term, successful and sustainable relationships between utility companies and energy consumers. The goal of the project is to develop methods for analysis of consumption and behavioral data that enable segmentation of end energy consumers in the residential sector. The derived information serves utility companies as a basis for targeted efficiency interventions and confidence building dialog with customers by intelligent linking of customer data.
The project Sense4EN is funded by the European Union and part of the European ClimateKIC initiative. The Energy Efficient Systems Group elaborates concepts for reducing heat consumption (especially warm water) by means of Smart Metering systems in association with ETH Zurich, TU Berlin and Vattenfall.