This special issue aims to bring together research that explores both the opportunities and risks of AI in modern energy systems, including topics such as:
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AI and machine learning for energy system planning and operations
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Data-driven decision-making for power systems and energy infrastructure
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AI-enabled energy markets and energy management
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Reliability, resilience, and cybersecurity in AI-enabled energy systems
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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
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Woody Zhu (Carnegie Mellon University)
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Aziz Ezzat (Rutgers University)
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Merve Bodur (University of Edinburgh)
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Zijun Zhang (City University of Hong Kong)
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Ramteen Sioshansi (Carnegie Mellon University)
Please feel free to share this announcement with colleagues and relevant communities.
We look forward to your submissions!
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