HydroForecast swept a yearlong, short-term flow forecasting competition.
In every competition region, HydroForecast was more accurate further into the future and provided better insight in both drought conditions and 1,000-year storms.
As climate change and extreme weather impact our water system, relationships between the variables that affect flows, like snowpack and temperature, are changing.
In these challenging circumstances, stakeholders from across the industry need new tools to improve subseasonal-to-seasonal water supply predictions.
Learn how to leverage AI, across industries and use cases, to manage water related risks with industry leading accuracy.
"HydroForecast has proven to be an important datapoint for Brookfield Renewable's reservoir planning and management activities. It has led to a more proactive approach to the short- and mid-term planning, an improved probabilistic view of generation and enhanced trading and operational decision-making. HydroForecast has been a truly successful project for Brookfield Renewable."
HydroForecast learns to represent hydrologic processes by identifying relationships between satellite observations, basin characteristics, meteorological forecasts, and streamflow measurements.
We believe that the best model is one grounded in physical scientific principles, and enhanced by finding deep connections in the relationships between data using machine learning models.
Our work is based on peer-reviewed research, and is the result of collaboration with leading universities and researchers.
HydroForecast is designed to adapt to different needs and provide tailored forecasts. Scroll over to learn more, or find more information on dedicated pages.
"Using HydroForecast has provided extremely helpful insight into short-term and long-term/seasonal inflow predictions. The graphics effectively communicate forecasts in a manner which allows teams from various disciplines to easily interpret and utilize the information, [and] HydroForecast also allows for easy integration into other in-house tools."
