HydroForecast swept a yearlong short-term flow forecasting competition hosted by the United States Bureau of Reclamation, CEATI, and hydropower utilities – and verified by RTI International.
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.
"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. Explore the research behind HydroForecast →
HydroForecast is designed to adapt to different needs. As such, it can be thought of as six distinct products across five unique horizons:
"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."
Our extensible forecasts can help you manage a range of water-related use cases and industries.
