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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.
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.
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.
AI-Enhanced Hydropower Systems: Smart Dams for a Resilient Future
This paper focuses on water-energy, using AI for smart, holistic hydropower operations to enhance water for energy resilience.
The existing challenges include (a) increasing demand for water and electricity, requiring a shift to flexible, real-time hydropower operations due to ch...
Varadharajan, C., Ajami, N., Brodie, E., Ciulla, F., Falco, N., Feldman, D., Newcomer, M., Dwivedi, D., Li, Y., Nakata, R., Nakata, N., Nico, P., Williams, K., Mahoney, M., Ramakrishnan, L., and Cholia, S.
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.
An Energy-Water Nexus Foundation Model Ecosystem to Advance System Resiliency and Affordability
This white paper presents how an AI-driven foundation model ecosystem for hydropower and the electric grid, integrated with a large language model (LLM) agent can address the "Water for Energy" challenge and modernize coordinated planning and operations of the U.S. energy-water ne...
Kwon, J., Kim, K., Levin, T., and Botterud, A.