UTICA, NY — A peer-reviewed study co-authored by SUNY Polytechnic Institute researchers Dr. Robert Edgell and Dr. Felipe Henao, SUNY Poly alumnus Jeffrey Olney, and collaborator Ambra Sharma is drawing national attention for examining how artificial intelligence is reshaping modern power systems and the societal challenges accompanying its rapid adoption.

The article, “AI in Power Systems: A Systematic Review of Key Matters of Concern,” published in Energy Informatics, analyzes nearly four decades of academic research (1987–2024) to identify key sociotechnical debates surrounding AI integration in energy infrastructure.

The study was recently cited in a November 4, 2025 Forbes article, “Can AI Fix Solar’s Scalability Problem?”, which highlighted concerns about transparency and data governance as automation expands across the solar industry. SUNY Poly researchers identified four major areas shaping the adoption of AI in power systems: operational reliability and scalability, sustainability impacts, trust issues such as transparency and cybersecurity, and regulatory and economic considerations including accountability and market fairness.

Rather than viewing AI as purely a technical tool, the study frames it as a broader sociotechnical transformation affecting governance, infrastructure, and public trust in energy systems.

Since its publication in 2025, the article has received multiple scholarly citations and ranks in the upper percentile of similarly aged Springer-tracked publications, reflecting strong early academic engagement. The research was supported in part by SUNY Poly’s Sustainable Aerospace Energy Center, the Center for Business and Applied Ethics, and the Offshore Wind Teaching Institute.