Machine Learning Risk Intelligence for Green Hydrogen Investment: Insights for Duqm R3 Auction
arXiv · · Notable
Summary
This paper introduces an AI-driven decision support system for green hydrogen investment in Oman, specifically for the Duqm R3 auction. The system uses publicly available meteorological data to predict maintenance pressure on hydrogen infrastructure, creating a Maintenance Pressure Index (MPI). This tool supports regulatory oversight and operational decision-making by enabling temporal benchmarking against performance claims.
Keywords
green hydrogen · risk assessment · machine learning · Oman · Duqm
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