Peak Demand Optimization

DCH accepts price signals from the electricity market and supports machine learning tools for predictive scheduling of charging and discharging of storage systems.  This enables buildings to shift the timing of energy consumption to prevent peak electrical demand thresholds being exceeded, and to take advantage of anticipated demand response incentives.  Active energy management using onsite storage in a building has delivered 6% bill savings in one summer period.  DCH’s two-way communication capability can be used to directly send control signals to devices for optimal control.