6th International Workshop on Energy Data and Analytics (EDA)

The 6th International Workshop on Energy Data and Analytics (EDA) will take place on June 17, 2025, in Rotterdam, Netherlands, as part of the 16th ACM International Conference on Future and Sustainable Energy Systems ACM e-Energy 2025.

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Workshop Description

The design of future energy systems that are efficient, ecologically friendly, robust, and scalable is a core concern of our society, as the effects of our current ways of generating, disseminating, and consuming energy on the environment are alarming. Reducing fossil fuel use and its emissions is crucial, as climate-related damages already exceed a billion USD annually, and much higher costs are anticipated. Meanwhile, renewable energy offers vast potential. For example, one hour of sunshine could power humanity for a year. Leveraging this potential requires innovation and data-driven approaches.

Another very relevant development is the shift toward a data-driven approach to system design, highlighted by terms like “big data” and “data science” and discussions on FAIR data principles (findability, accessibility, interoperability, reusability). Energy systems now generate vast data streams, such as those from smart meters, though not all aspects are well-documented. The questions of how data describing energy systems can be captured and processed, how its availability can be increased, and what can be learned from it are fundamentally important. This last aspect includes predictions of various kinds of supply and demand, predictive maintenance of energy infrastructures, the processing of energy-consumption data in a way that respects the privacy of the individuals involved and business secrets, etc. Scientific venues are needed to tackle these challenges.

With a special focus on FAIR data and the challenges and opportunities of research data and software for 2025, we invite experts from academia and industry to discuss their experiences and best practices in this domain. The workshop serves as a forum for sharing their findings related to the collection, curation, analysis, and management of energy data, considering FAIR principles.

The objectives of the 6th EDA Workshop are as follows:

  • At a general level, the workshop aims to draw attention to the fact that data-oriented approaches are often feasible and promising for designing and operating energy systems.
  • The workshop will exchange best practices and experiences in reusable research data and software.
  • The workshop aims to bridge the gap between energy systems researchers and the state-of-the-art in data-oriented approaches for designing and operating such systems. It intends to provide support to individuals seeking to broaden their methodological horizons.
  • The workshop aims to serve as a networking platform focusing on funding opportunities at the national and European levels. These opportunities often require proposals from consortia that are both broad and balanced in their composition.
  • The workshop aims to expose researchers to a diverse audience eager to learn about novel data sets, whether publicly available or not, that are particularly relevant to emerging research topics.

Workshop Agenda

13:30-14:05: Keynote by Dominik Engel (FH Salzburg, Austria): “Privacy versus Utility in Energy Data Use Cases: a Precarious Trade-off“

14:05-15:00: Session 1:

If not stated otherwise, the talks are scheduled with a duration of 14 minutes + Q&A:

  • Talk 1: Reducing Imbalance Energy by Spatial Balance Area Forecasting
  • Talk 2: Are Time Series Foundation models good for Energy Anomaly Detection?
  • Talk 3: Improvement of electricity consumption model using variables constructed by zero-shot labelling on social media data

15:00-16:00: Poster Session with Coffee Break:

  1. Physics-Informed vs. Deep Learning: Indoor Temperature Prediction with Different Data Availability
  2. Practical Insights from Implementing Event-Based NILM Systems
  3. Rapidly Trainable Large-Scale Probabilistic Heat Pump Load Forecasting: A Kernel Density Estimation Approach
  4. Synthetic Power Network Topology Generation with Geographical Information
  5. THERMODSET: Anomaly-Free and Open-Source Dataset for Thermal Modeling
  6. Training Size Matters: Impact of Training Data Size on Electrical Load Forecasting

16:00-16:55: Session 2:

If not stated otherwise, the talks are scheduled with a duration of 14 minutes + Q&A:

  • Talk 4: HEAPO – An Open Dataset for Heat Pump Optimization with Smart Electricity Meter Data and On-Site Inspection Protocols
  • Talk 5: Day-Ahead Bidding Strategies for Wind Farm Operators Under a One-Price Balancing Scheme
  • Talk 6: Copula-based Probabilistic Prediction of Grid Frequency Dynamics

16:55-17:00: Closing Session

Organizers

Workshop Chairs

  • Nicole Ludwig (University of Tübingen, Germany)
  • Astrid Nieße (OFFIS, Germany)
  • Omid Ardakanian (University of Alberta)
  • Klemens Böhm (KIT, Germany)

Program Committee

  • Omid Ardakanian (University of Alberta)
  • Klemens Böhm (Karlsruhe Institute of Technology)
  • Edouard Fouche (Siemens)
  • Jorge Ángel González-Ordiano (Universidad Iberoamericana Ciudad de México)
  • Stephan Haben (University of Oxford)
  • Lars Kühl (Ostfalia Hochschule für angewandte Wissenschaften)
  • Nicole Ludwig (University of Tübingen)
  • Astrid Nieße (Carl von Ossietzky University)
  • Andreas Reinhardt (TU Darmstadt)
  • Milagros Santos Moreno (ITESO)
  • Mirko Schäfer (INATECH, University of Freiburg)
  • Rico Schrage (Carl von Ossietzky Universität Oldenburg)
  • Marnie Shaw (The Australian National University)
  • Henrik Wagner ( TU Braunschweig)

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