by Marshall Moutenot on May 29, 2020
Upstream Tech, a subsidiary of Natel Energy, has been selected to receive a Small Business Innovation Research (SBIR) Phase 1 award from the Department of Energy (DOE) to support improved hydropower decision-making with the further development of HydroForecast™. The original announcement from the DOE’s Water Power Technologies Office is linked here.
Upstream Tech is a US-based public benefit corporation that uses satellite imagery and machine learning to create environmental decision-support technologies. Their HydroForecast™ service is a neural network-based approach to forecasting streamflow for hydropower operational decision-making. Hydropower operators rely on forecasts for planning and operational decision-making, but the inaccuracy of current forecasts has implications for revenue, risk, and regulatory requirements. Upstream Tech’s SBIR proposal, entitled “Hydropower Decision-Support with Machine Learning and Satellite Driven Forecasts,” leverages machine learning and satellite imagery innovations to improve the accuracy and reliability of hydrologic forecasts.
The Phase 1 project leverages machine learning and satellite imagery innovations to improve the accuracy and reliability of hydrologic forecasts. This work includes three main components: