* AI and machine learning for energy system planning and operations
* Data-driven decision-making for power systems and energy infrastructure
* AI-enabled energy markets and energy management
* Reliability, resilience, and cybersecurity in AI-enabled energy systems
* Responsible, trustworthy, and interpretable AI for critical infrastructure
We welcome submissions from researchers across operations research, data science, machine learning, power systems, and energy economics.
Call for Papers: https://pubsonline.informs.org/doi/full/10.1287/ijds.2026.cfp.v05.n1
New Submission Deadline: June 1, 2026
Guest Editors
* Woody Zhu (Carnegie Mellon University)
* Aziz Ezzat (Rutgers University)
* Merve Bodur (University of Edinburgh)
* Zijun Zhang (City University of Hong Kong)
* Ramteen Sioshansi (Carnegie Mellon University)
Please feel free to share this announcement with colleagues and relevant communities.
We look forward to your submissions!
--
Dr. Merve Bodur, Reader, School of Mathematics | University of Edinburgh
James Clerk Maxwell Building | Peter Guthrie Tait Road | Edinburgh | EH9 3FD
Web: https://www.maths.ed.ac.uk/school-of-mathematics/people/a-z?person=1185
The University of Edinburgh is a charitable body, registered in Scotland, with registration number SC005336. Is e buidheann carthannais a th' ann an Oilthigh Dhùn Èideann, clàraichte an Alba, àireamh clàraidh SC005336.
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