EnergyHub’s Mercury Distributed Energy Resource Management System (DERMS) includes a forecasting capability that utilizes advanced machine learning techniques to predict the complex behavior of fleets of connected DERs, aggregating data from each grid-edge device. The result is program-specific models that are continually optimized, providing consistently accurate forecasts at 15-minute intervals. Mercury produces forecasts with greater than 95 percent accuracy of fleet-level loads across DERs.

Submit the form on the right to download our fact sheet on Mercury’s load forecasting capabilities. This fact sheet covers:

• EnergyHub’s load forecasting methodology
• How load forecasting can benefit utility operators and demand response program managers
• The key components used to calculate forecasts