The 7th International Workshop on Energy Data and Analytics (EDA)

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February 2, 2026
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The 7th International Workshop on Energy Data and Analytics (EDA)

June 22, 2026, in Banff, Canada

Call for Papers

The 7th International Workshop on Energy Data and Analytics (EDA) is part of the 17th ACM International Conference on Future and Sustainable Energy Systems (ACM e-Energy 2026), which takes place within the inaugural ACM Sustainability Week at the Banff Centre (Banff, Canada). The workshop will be held on June 22, 2026, during the conference’s affiliated workshops and tutorials day. The main conference runs from June 23–25, 2026.

Workshop Organizers: Astrid Nieße, Leoni Winschermann, Veit Hagenmeyer

Abstract: The design of efficient, eco-friendly, and scalable energy systems is critical to addressing the environmental impacts of current energy practices, with renewable energy offering vast untapped potential. This workshop focuses on leveraging data-driven approaches and FAIR principles to enhance energy system innovation, addressing challenges in data availability, processing, and applications such as supply-demand predictions, predictive maintenance, and privacy-conscious analysis. With a special focus on FAIR data and the challenges and opportunities of research data and software since 2025, we invite experts from academia and industry to discuss their experiences and best practices in this domain.

Workshop Programm

EDA Session 1 (8.00 – 10.00)

  • Talk 1: HEMS-Arena: An Open-Source Modular Framework for Reproducible Evaluation of Residential Energy Management Strategies (Damien Bouchabou, Akrem Dabbech (Homensia Research))
  • Talk 2: Semantic Interoperability Enhancement Framework for Energy Data Management (Zhiyu Pan, Fengshuo Hao, Antonello Monti (RWTH Aachen University))
  • Talk 3: Covariates Are the Key to Accurate Probabilistic Building Energy Forecasting with Time Series Foundation Models (Alexander Kreusel, Matthias Hertel, Moritz Noskiewicz, Frederik Zahn, Heiko Maaß, Ralf Mikut, Veit Hagenmeyer (Karlsruhe Institute of Technology))
  • Talk 4: Rethinking Machine Learning Performance Metrics in Distributed Energy Resource Systems: A Concise Review (Qiushi Li (Concordia University), Chengming Hu (McGill University), Jun Yan (Concordia University), Jie Gao (TU Delft), Hepeng Li (University of Maine), Yuhong Liu (Santa Clara University), Xiao’ou Yang (Santa Clara University), Dafang Zhao)
  • Talk 5: Assessing Explanations of Graph Neural Networks for Dynamic Stability Assessment of Power Grids (Martin Sadric (Karlsruhe Institute of Technology), Sebastian Pütz (Karlsruhe Institute of Technology), Christian Nauck (Potsdam Institute for Climate Impact Research), Veit Hagenmeyer (Karlsruhe Institute of Technology), Frank Hellmann (Potsdam Institute for Climate Impact Research), Benjamin Schäfer (Karlsruhe Institute of Technology))

Coffee Break (10.00 – 10.30)

EDA Session 2 (10.30 – 12.00)

  • Talk 6: On the Benefits of Water Consumption and Reactive Power for Eventless NILM (Justus Breyer (RWTH Aachen University), Paul Sonnenschein (RWTH Aachen University), Muhammad Hamad Alizai (LUMS), Klaus Wehrle (RWTH Aachen University))
  • Talk 7: Weather-Driven Power Outage Prediction Using Transfer Learning and Interpretable Pattern Discovery (Jasmine Garland, Ben Livneh, Kyri Baker (University of Colorado Boulder))
  • Talk 8: SynthCharge: Synthetic Data Generator for Electric Vehicle Charging Sessions (Arne Lescrauwaet, Aleksei Mashlakov, Gargya Gokhale, Jonas Van Gompel, Neeraj Shah (Centrica))

All presenters must attend in person for the workshop as a general requirement from the conference.

Contact: For any questions, please get in touch with one of the Workshop Chairs: