Intelligent energy
Meter every load, forecast demand and shift flexible consumption without compromising production schedules.
Why this is hard today
Energy costs are reported monthly and allocated by floor area. Nobody can say which line drives peak demand, so efficiency projects compete on guesswork.
Our approach
- 01
Build the energy model
Sub-meters and production counters are mapped to a single model, with baselines that follow ISO 50001 reporting logic.
- 02
Find the flexible load
GridPilot ranks loads by shift cost and operational flexibility, then estimates the payback of moving each one.
- 03
Sustain the savings
Monthly EnPI reviews keep baselines honest and flag drift before it reaches the utility bill.
Measured outcomes
- Peak demand reduction
- 18%
- Annual energy cost avoided
- 9%
- Sites on one model
- 3
Typical results from comparable deployments; actual outcomes depend on line conditions and scope.
Systems used in this solution
All products
Scope a pilot for this solution
Share the line, systems and target metric. We will reply with a pilot plan.