How do we power AI?
Each AI task, such as generating an image or automating a process, requires substantially more power than a simple Google search. Major tech companies like...
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Oliver Stover is an associate principal in CRA’s Energy Practice with over 10 years of experience in modeling and risk management within the energy domain. He specializes in resource adequacy, risk analysis, forecasting, and applying AI techniques to energy challenges.
Dr. Stover has led numerous high-impact engagements, including providing forecasts for the state of Texas, developing alternative forecasts for the PJM market to support investor and utility decision-making, and performing loss of load and computation of effective load carrying capabilities and planning reserve margins for multiple utilities.
Dr. Stover led the development of multiple in-house AI-enabled tools including a resource adequacy model (AdequacyX) and 24/7 carbon free energy optimization tool. His forecasting expertise extends to areas such as electric vehicle adoption, data center development, non-native industrial load growth, and traditional econometric forecasting.
Before joining CRA, Dr. Stover conducted research on DOE-funded projects, where he developed innovative AI-driven approaches for understanding and managing risk in high-renewable power grids. Additionally, he has experience as a reliability engineer in the oil and gas industry.
Dr. Stover holds a PhD in Civil Engineering from Vanderbilt University and a BS in Mechanical Engineering from Cornell University.