Today’s energy resource plans and investment strategies are driven by broad assumptions about customer demand, end-use technologies and general behavioral trends. These approaches may be inadequate as customer behaviors change and behind-the-meter technologies become more prevalent. Energy policy experts and system planners acknowledge significant “blind spots” in demand forecasting, increasing exposure to compliance risks and real risks to system operability.

Innowatts helps mitigate risk exposure with “bottoms up” intelligence that is more responsive to actual drivers of demand. Innowatts smart meter-enabled machine learning models allow better integration of short- and long-range forecasts, resulting in resource plans and strategies that are more responsive and adaptable to dynamic change.