DOE OSTI · 2998634
Utilizing AI and Spatial Data to Identify & Rapidly Disseminate Energy Infrastructure Insights
Abstract
GeoGov Summit Final Presentation entitled "Utilizing AI and Spatial Data to Identify & Rapidly Disseminate Energy Infrastructure Insights". Maintaining the integrity of energy infrastructure plays a critical role in ensuring energy security. Robust foundational AI models using data from federal, state, industry, and other sources can help address integrity risk management & mitigation issues as well as evaluate extended use strategies. Trusted foundational models can help with industry adoption and accelerate innovation by enhancing integrity predictions, reduce costs, and informing infrastructure build-out. Coordination, collaboration & data sharing to develop robust models to aid in: Optimizing operations; Minimizing costs; Ensuring energy security.
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Bauer, Jennifer [NETL] (ORCID:0000000337771725), Dyer, Alec [NETL Site Support Contractor, National Energy Technology Laboratory], Zaengle, Dakota [NETL Site Support Contractor, National Energy Technology Laboratory], Schooley, Catherine [NETL Site Support Contractor, National Energy Technology Laboratory], Malay, Caleb [NETL Site Support Contractor, National Energy Technology Laboratory], Pfander, Isabelle [NETL Site Support Contractor, National Energy Technology Laboratory], Leveckis, Stephen [NETL Site Support Contractor, National Energy Technology Laboratory], Gao, Michael [NETL Site Support Contractor, National Energy Technology Laboratory], Houghton, Benjamin [NETL Site Support Contractor, National Energy Technology Laboratory], Rose, Kelly [NETL] (ORCID:0000000161304727). 2025-09-10. Utilizing AI and Spatial Data to Identify & Rapidly Disseminate Energy Infrastructure Insights. https://doi.org/10.2172/2998634
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