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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.
High-Altitude Electromagnetic Pulse (HEMP) effects on Energy-Water resilience
Executive Order 13865 emphasizes the need to focus on critical infrastructure resilience to high-altitude electromagnetic pulse (HEMP) effects, indicating that simulation of EMP effects on both energy and water systems need to be studied. The key technical challenges in assessing ...
Tabarez, J., Barnes, A., and Nelson, E.
Minimizing Costs and Risk for Rural Water Systems
Many rural and remote populations either lack access to treated water supplies or are served by water systems that are at risk from increasing contaminant concentrations, aging infrastructure, unreliable supplies, and/or groundwater depletion. Recent research has shown that these ...
Hendrickson, T., Rao, P., Stokes-Draut, J., Gonzalez, S., and Fiske, P.
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.
Energy-Water System Resilience to Flooding
This white paper addresses the resilience challenges and opportunities within interdependent energy-water systems, particularly under the stress of flooding events. It describes how large-scale flood events impact these systems, posing risks such as operational constraints, infras...
McPherson, T., Giovando, J., Hou, H., Daniel, B., Bracken, C., Li, X., and Bixler, T.
A Decision-Framework for Retrofitting or Decommissioning Hydropower Plants in the USA
This white paper presents a comprehensive decision framework for evaluating the retrofitting or decommissioning of aging hydropower plants in the United States, focusing on the critical intersection of water and energy. The U.S. hydropower sector, comprising approximately 2,000 pl...
Mishra, S., Kumar, S., Prairie, J., Giovando, J., Rajib, A., and Castillo, C.
Quantifying Energy Use across U.S. Water Sectors: A Scalable AI/ML-Driven Framework for Data Integration and Resilience Planning
This white paper explores opportunities to quantify and characterize energy use across major U.S. water sectors, including irrigation, water supply, and water treatment, with a focus on energy for water dimension. A scalable AI/ML-driven framework will be developed to harmonize fr...
Ghimire, G., Bhanja, S., and Martinez, R.
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.
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.
Integrated Water-Energy-Economics Framework for Public Water System Resilience
This paper highlights key energy-for-water challenges in U.S. public water systems (PWS): aging infrastructure, cost recovery gaps, hydrologic vulnerabilities, and high-demand users like data centers--which concentrate near population centers and existing PWS. It underscores the n...
Siddik, M., Ahmad, N., Guaita, S., and Chinthavali, S.