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Hydrotwin: an AI-based physics and optimization framework for improved water resource resilience in systems experiencing adverse events

This white paper focuses on water for energy. As we move ahead into an uncertain future for water resource demand and supply, a massive challenge exists to optimize water systems to be resilient to a range of press/pulse extreme event states and conditions. Optimal decision-makin...

Bennett, K., Schwenk, J., and Garcia, M.

Advancing Energy-Water Resilience through Integrated Science and Technology for Natural Infrastructure Management

This white paper focuses on water for energy. The challenge is that ecosystems are under increasing stress from rising temperatures, prolonged drought, and intensifying disturbances like wildfire, insects, and land-use change, which can impact the hydrologic capacity of watershed...

Dickman, L., Atchley, A., Giovando, J., Fluet-Chouinard, E., Xu, C., and McPherson, T.

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.