Abstract
Scientific literature predicts a significant rise in energy demand over the next decades. Optimizing energy systems is a key step toward reducing energy related greenhouse gas emissions. Recent studies show that active consumer participation and the integration of modern information and communications technologies are key techniques for successfully streamlining energy systems. The main objective in the GameOpSys research project is to develop a means to accurately predict the energy consumption of buildings based on patterns in smart meter data and user-generated input. To do so we propose a user-centered software system for communication between building occupants and energy system operators.
Original language | English |
---|---|
Title of host publication | BauSIM 2020 - 8th Conference of IBPSA Germany and Austria |
Subtitle of host publication | 23-25 September 2020, Graz University of Technology, Austria; Proceedings |
Editors | Michael Monsberger, Christina Johanna Hopfe, Markus Krüger, Alexander Passer |
Place of Publication | Graz |
Publisher | Verlag der Technischen Universität Graz |
Pages | 281-288 |
ISBN (Electronic) | 978-3-85125-786-1 |
DOIs | |
Publication status | Published - Oct 2020 |
Event | BauSIM 2020: 8. Deutsch-Österreichische IBPSA Konferenz - Technische Universität Graz, Virtuell, Austria Duration: 23 Sept 2020 → 25 Sept 2020 |
Conference
Conference | BauSIM 2020 |
---|---|
Country/Territory | Austria |
City | Virtuell |
Period | 23/09/20 → 25/09/20 |
Keywords
- Building Operation
- Machine Learning
- User Behavior