Please find below the call for papers for The 7th International Workshop on Energy Data and Analytics (EDA).
In a nutshell
All information is available here: https://nfdi4energy.uol.de/updates/the-7th-international-workshop-on-energy-data-and-analytics-eda/
Important dates
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Paper submission deadline: March 31, 2026
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Notification of Acceptance: April 24, 2026
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Camera-ready: May 12, 2026
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Workshop: June 22, 2026
About the workshop
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.
Scope
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.
The workshop invites submissions on the following topics – all of them specific to energy data or energy systems and their characteristics:
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New approaches and techniques to analyze energy data and turn it into actionable insights
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Data science for energy data
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Tools and techniques for management and archival of energy data
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Measurement data from field studies and real-world systems
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Data from simulations of energy systems
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Synthetic data generation techniques
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Data visualization
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Data integration and data quality issues
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Data privacy and anonymization techniques
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Modeling and representation of energy‐specific knowledge
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Reusability of research data: challenges and success stories
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Industrial data and IP-related challenges for data exchange
We are looking forward to your submission.
On behalf of the workshop chairs Astrid Nieße, Veit Hagenmeyer and me,
___________________________________________________
[http://www.dtu.dk/-/media/DTU_Generelt/Andet/mail-signature-logo.png]
Leoni Winschermann
Postdoc
DTU Wind and Energy Systems
Department of Power and Energy Systems
Section on E-Mobility and Prosumer Integration
AHEAD project: https://horizon-ahead.eu/
www.dtu.dk/english
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