AI Load Control Devices

The Problem

“Reduce peak demand without harming customers”

Organizations face these key challenges:

Peak demand volatility causes high capacity charges, congestion costs, and reliability risk, but available flexibility is uncertain and hard to dispatch precisely.

One-size-fits-all control strategies create customer discomfort, opt-outs, and rebound peaks, reducing program effectiveness and increasing churn.

Slow, inaccurate measurement and verification and fragmented device ecosystems (thermostats, water heaters, EVSE, batteries) increase operational burden and limit scale.

Impact When Solved

15–35% higher realized kW reduction per event through predictive, customer-specific control and reduced opt-outs.20–40% reduction in program operating costs via automated dispatch, anomaly detection, and faster M&V/settlement.$50–$150 per kW-year avoided capacity/peak procurement costs, enabling multi-million-dollar annual savings at 50–200 MW portfolio scale.