Markus Kreft et al. publish a research article in Applied Energy
11. June 2024
Our paper "Predictability of electric vehicle charging: Explaining extensive user behavior-specific heterogeneity" has been published in the Journal Applied Energy. The full article is available as open access (click here to open the link).

Article on digital behavioral interventions published in Journal of Public Economics
24. November 2023
Research team finds striking complementarities in digital behavioral interventions. Read more here in the Journal of Public Economics (open access).

Leonard Michels et al. publish article on Digital Nudging in the European Journal of Information Systems
29. August 2023
We are proud to announce that the research paper, "Salience, transparency, and self-nudging: a digital nudge to promote healthier food product choices", has recently been published in the European Journal of Information Systems. We congratulate our Alumnus Leonard Michels to this great publication which is a nice culmination for his PhD journey! We are also thankful for the fruitful collaboration with the co-authors Jessica Ochmann, Kathrin Schmitt, Sven Laumer and Verena Tiefenbeck. The paper...

28. August 2023
We are pleased to announce that our manuscript "Large-scale monitoring of residential heat pump cycling using smart meter data" has been accepted by the Journal Applied Energy. The article was written by Tobias Brudermüller, Markus Kreft, Elgar Fleisch and Thorsten Staake. Heat pumps play an essential role in decarbonizing the building sector, but their electricity consumption can vary significantly across buildings. This variability is closely related to their cycling behavior (i.e., the...

Smart Meter Data Analytics Tutorial by Tobias Brudermüller and Markus Kreft Published at ICLR 2023 Workshop
09. June 2023
Tobias Brudermüller and Markus Kreft published a Python tutorial on “Smart Meter Data Analytics: Practical Use-Cases and Best Practices of Machine Learning Applications for Energy Data in the Residential Sector”. The tutorial is designed for practical, self-paced learning, and real-world applications. It is part of the ICLR 2023 Workshop on Tackling Climate Change with Machine Learning hosted by ClimateChangeAI. Link to publication

20. January 2023
Every year, the Foundation for Energy Informatics awards excellent bachelor's and master's theses that contribute to shaping the energy system of tomorrow. The foundation has awarded two theses completed in the Bits-to-Energy Lab in succession (both in 2021 and 2022) with a sponsorship prize in the category "Best master's thesis". Elena Giacomazzi's master's thesis on "Forecast of electricity demand and load peaks in the distribution network with LSTM and transformer architectures" won a...

01. December 2022
On December 1st, Konstantin Hopf gave a talk about Smart Meter Analytics as part of the Smart City Talk Osnabrück.

B2E research communicated to a non-scientific audience in a series of Science Slam events
28. November 2022
A researcher of our team, Tobias Brudermüller, was invited to present our work on stage in a series of „Science Slam“ events.

Bits to Energy Workshop on Energy Data Analytics and Forecasting
02. November 2022
The Bits to Energy Labs at ETH Zurich, University of Erlangen-Nürnberg, and University of Bamberg hosted a joint industry-academia workshop with three energy retailing companies in Bamberg. During the workshop, we exchanged current research studies and practical problems from an industry perspective with our current collaborators in research projects

Andreas Weigert et al. publish a research article in Energy Policy, a leading journal in the energy field
03. October 2022
We are pleased to announce that our manuscript "Heat Pump Inspections Result In Large Energy Savings When A Pre-Selection of Households Is Performed: A Promising Use Case of Smart Meter Data" has been accepted by the Journal Energy Policy. The article was written by Andreas Weigert, Konstantin Hopf, Sebastian Günther, and Thorsten Staake. The study investigates how much saving can be achieved in a typical energy-saving campaign for heat pumps and how data from smart electricity meters can help...

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