Water Management – posters

Presentations are:

Proven use cases for optimizing hydropower operations with AI streamflow forecasting, presented by Laura Read, Upstream Tech

The NASA POWER Project’s Global Solar and Meteorological Data and Web Services to Support Hybrid and Future Hydropower Decisions, presented by Paul Stackhouse, NASA (National Aeronautics and Space Administration)

Details about each presentation and the speakers are below:

Proven use cases for optimizing hydropower operations with AI streamflow forecasting
Presented by Laura Read, Upstream Tech

Hydropower plants face growing complexities in managing their operations and resources efficiently. Common challenges include optimizing energy dispatch and managing high-flow events and seasonal supply. As a result, utilities are embracing new opportunities presented by innovation and AI. One of the strongest and most proven applications of AI for hydrology is streamflow and water supply forecasting.

Designed for improving water resource decision making, our AI-driven streamflow forecasting solution, HydroForecast, leverages AI to combine weather forecasts with satellite imagery. HydroForecast outperforms traditional alternatives in all kinds of extreme weather, from atmospheric rivers to droughts.

In this presentation, we will highlight how our AI streamflow forecasts at short and medium horizons have been integrated into utilities’ planning and operations. We will share real-world examples of how HydroForecast's AI-driven hydrologic forecasts have provided actionable insights that lead to real business impacts. Results prove our forecast accuracy drives additional revenue through avoided imbalance fees and increased capacity, as well as better water supply management for operational efficiency, emergency response planning, and more.

The NASA POWER Project’s Global Solar and Meteorological Data and Web Services to Support Hybrid and Future Hydropower Decisions
Presented by Paul Stackhouse, NASA (National Aeronautics and Space Administration)

The hydropower industry strives to adopt solutions to make energy generation more efficient and resilient. Planning and implementing these projects require reliable environmental datasets that can be easily accessed anywhere in the world.

NASA’s Prediction Of Worldwide Energy Resources (POWER) project can inform decision-making and management of hydropower infrastructure, integration of hybrid energy generation platforms, and machine learning forecasting systems by enabling convenient distribution of NASA’s Earth observations and global atmospheric model datasets. POWER’s datastore is comprised of solar radiation and surface meteorology parameters, spanning nearly 40 years, that are easily accessible via several methods and tools.

POWER data is analysis-ready and accessible through an Application Programming Interface (API), ArcGIS Image Services, and the project’s Data Access Viewer, an interactive online tool used for data visualization. POWER’s entire data product catalog is also available through Amazon Web Services Open Data Registry via a free and publicly accessible Simple Storage Service. POWER’s robust list of parameters – including precipitation, surface temperature, humidity, solar thermal infrared fluxes, wind speed, and soil moisture – could directly support U.S. energy generation goals and hydropower capabilities.

This presentation will provide an overview of the NASA POWER project's data and services that are directly applicable the hydropower community. Examples of how users have utilized POWER data products to make decisions for hybrid hydropower and watershed problems. Lastly, a preview of web services and future and recent data product expansions, including integrated climate projections and recently released hydrologic parameters is provided.

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