Utilities continue to improve at forecasting system-level peak loads at the system level. Accurate load forecasting during intraday cycles, requiring more granularity, remain challenging. Anticipated changes in customer consumption patterns, combined with the proliferation of DER assets and new risks to the grid, require predictive intelligence at a disaggregated level.

Innowatts combines individual customer consumption, ideally from a smart meter feed, with customer attributes and third-party data to create customer load profiles. These profiles form the basis of our machine learning models, which continuously analyze over 2,000 consumption-related variables to produce accurate forecasts at virtually any operating or reporting level.