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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.
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.