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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.

Employing AI-Enabled Prognostics for Energy-Water Resilience

This white paper focuses on strengthening the resilience and efficiency of hydropower systems at the energy-water nexus through AI-enabled prognostics and hardware-in-the-loop (HIL) simulation. It emphasizes integrating digital intelligence with physical infrastructure to optimize...

Zhao, S., Qiu, F., and Agalgaonkar, Y.

Circular Water-Energy Nexus for Resilient Hydrogen Production via Intelligent Seawater Electrolysis and Real-Time Sensing

This white paper addresses the DOE WPTO focal area of energy-water resilience and circular systems, aligned with the topic of water for energy and energy for water cross-optimization. It proposes a machine-learning-enabled circular water-energy platform that integrates hydrogen pr...

Chen, J., and Xiong, G.

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.

Enabling Energy-Water Resilience in U.S. Data Centers: Water-Aware Grid Planning and Operations with Infrastructure-Compatible Cooling

Rapid, concentrated expansion of AI data centers is reshaping electricity demand profiles, local infrastructure requirements, and regional resource constraints. These facilities are often sized from tens to hundreds of megawatts with multi-gigawatt campus clusters. They are relati...

Zhou, Z., Wu, M., Qiu, F., Muehleisen, R., Zhao, D., Yan, E., and Worek, W.