Meter data, read by people who know plant rooms

The method, in four steps

1. 01

   Model

   • ✓For every meter, kWIQly learns how consumption responds to outdoor temperature and time of week.
   • ✓No floor plans, sensors or site surveys are needed: interval readings are enough.
2. 02

   Compare

   • ✓Actual consumption is compared with that model, day by day.
   • ✓A cumulative deviation chart shows when a building drifted and by how much.
3. 03

   Diagnose and rank

   • ✓Targeted checks point to likely causes: out-of-hours running, early starts and late closing, high baseload, and heating that does not follow the weather.
   • ✓Each finding gets an estimated annual opportunity and a signal strength, so your team starts with the largest, clearest cases.
4. 04

   Verify

   • ✓Once a change is made, consumption before and after is compared by time of week and temperature band.
   • ✓Weather and opening hours are accounted for, so you see what the action achieved.