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Maximizing American Energy Dominance with Forecasts of Energy Infrastructure Flood Exposure and AI Predictions of Consequences

This white paper focuses on water for energy. High frequency, reliable, and spatially explicit flood forecasts are necessary to forecast impacts to the energy system from hydrological hazards. While these tools are nearing operation at scale, they have not yet been systematicall...

Brelsford, C., Garcia, M., Robbins, Z., Schwenk, J., and Liu, Y.

Supporting adoption of advanced forecast informed reservoir operations tools to improve agricultural and municipal water and energy outcomes

Expanding the use of advanced forecast-informed reservoir operations tools can optimize or improve water delivery and storage for energy generation, irrigation, and municipal uses. Advanced forecast-informed data and tools are increasingly being integrated into large-scale reservo...

Jorgensen, J., Giovando, J., Pracheil, B., Hou, H., and Niazi, H.

A Hybrid AI-Optimization Framework for Resilient Hydropower Operations to Support Grid Stability, Extreme Weather Management, and Large-Scale Industrial Loads

This white paper supports a two-stage decision-support framework that links fast, probabilistic inflow forecasts from modern machine learning and generative AI with multistage stochastic optimization for hydropower scheduling. By propagating uncertainty from prediction into operat...

Ploussard, Q., and Feinstein, J.

Thermoelectric and Hydropower Drought Monitor and Outlook: Tools for more robust resource adequacy planning and management

The primary focus is on issues related to water for energy; specifically, how drought-impacted water supply limits the generation potential of hydropower and thermoelectric assets. Existing Challenge: Twenty-two droughts, each causing a billion dollars or more in damages have im...

Voisin, N., Tidwell, V., and Gerlich, J.

Advancing Energy-Water Resilience in California: A Framework for Integrated Water and Power Management Opportunities

This white paper identifies opportunities to advance energy-water resilience in California, using the Central Valley Project (CVP) and State Water Project (SWP) system. It addresses the critical intersection of both water for energy and energy for water management, emphasizing how...

Mork, E.

Forecast and Intelligence Enabled Reservoir Operations for Energy-Water Resilience

This white paper discusses the energy-water nexus and emphasizes the need for co-optimization of hydropower, reservoir management, and water supply operations to enhance resilience and reliability. It focuses on integrating water management intelligence with power system forecasti...

Sun, M., and Hansen, C.

Forecast-Informed, Market-Responsive Conjunctive Operations for Multi-Reservoir Water-Energy Systems

The white paper, "Forecast-Informed, Market-Responsive Conjunctive Operations for Multi-Reservoir Water-Energy Systems" , addresses the water-for-energy and energy-for-water nexus by proposing a framework for co-optimizing hydropower and cascading reservoir operations alongside fl...

Pavicevic, M., Mork, E., Yu, A., Herman, J., Emmons, J., and Ploussard, Q.

Water Energy Planning Strategies to meet Emerging Load from Data Centers

This white paper discusses the urgent need for innovative management of energy and water resources in the context of rapidly growing data centers, particularly as U.S. electricity demand is projected to increase by 35 to 40% by 2040 due to the rise of artificial intelligence (AI)....

Bhowmik, P., Cafferty, K., Klise, K., and Jackson, N.

Agentic Optimization for Resilience in Hydropower Reservoir Systems

The growing electricity demand in the U.S. requires a resilient energy strategy. Hydropower is a major component of that strategy but is subject to environmental and human stressors that impact its dependability. AI-driven reinforcement learning, called "Agentic" learning, presen...

Schwenk, J., Garcia-Cardona, C., Bennett, K., Singh, S., and Brelsford, C.