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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.
Maximizing American Energy Dominance with Forecasts of Energy Infrastructure Flood Exposure and AI Predictions of Consequences
This white paper focuses on water for energy.
High frequency, reliable, and spatially explicit flood forecasts are necessary to forecast impacts to the energy system from hydrological hazards. While these tools are nearing operation at scale, they have not yet been systematicall...
Brelsford, C., Garcia, M., Robbins, Z., Schwenk, J., and Liu, Y.
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.