This project aims to enhance risk management and decision-making in non-electrical energy infrastructure through advanced AI modeling, data analysis, and interdisciplinary collaboration. It focuses on developing innovative decision-support tools that integrate expert knowledge with empirical data, optimizing predictive models, refining data management strategies, and fostering academic-industry partnerships. Expected outcomes include accelerated model development, improved industry competitiveness, commercialization potential, and stronger research networks. By leveraging AI, computational modeling, and data-driven decision-making, the project will drive sustainable energy infrastructure innovation while addressing cross-theme benefits such as enhanced risk management and operational efficiency.
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Application of risk analysis tools for major capital energy infrastructure projects
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Status
Active
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Theme
Non-Electric Infrastructure
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Principal Investigator
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Project Assistant
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Faculties