Lower avoidable operating cost
Find persistent baseload, missed schedules and unexplained site variance before they become the next reporting period.
Cut the energy bill - and prove the change was not just weather.
Establish a weather-normalised baseline, value verified performance against the site tariff and keep the source data, method and actions behind every reporting period.
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Energy Performance
Separate operational change from the season around it.
Compare actual use with the consumption expected for the same weather and approved operating conditions. If the model is not statistically usable, show the limitation instead of publishing a false saving.
- Build the baseline from the site’s own consumption history.
- Check the baseline holds before anything is measured against it.
- Freeze the approved model and record every later revision.
- Value the variance using the tariff effective for each measured period.
From finding to action
Put each variance in front of its owner.
Move from portfolio variance to the sites, meters and operating periods behind it. Assign the investigation, record the action and measure the next period against the same baseline.
- Rank sites by cost variance and data confidence - not consumption alone.
- Trace the gap to operating hours, load, equipment or missing data where evidence allows.
- Connect the approved response to a task, control change or investment decision.
Turn performance evidence into three business outcomes.
Defend the savings claim
Keep the baseline, weather inputs, tariff, source readings and approved actions behind every published result.
Carry the same evidence into reporting
Reuse approved performance data in management and ESG reporting without re-entering it at year end.
Turn performance evidence into three business outcomes.
Inside Energy Management
Energy Performance
ISO 50001 & EPBD
Battery Optimizer
Boards & KPIs
FAQ
Energy management with the method exposed
Is energy management the same as smart metering?
No. Metering collects trustworthy readings. Energy management uses them to find variance, model expected use, value the gap, assign action and verify what changed.
What does weather-normalised mean?
Actual consumption is compared with the amount a documented model expected under the measured weather and approved operating variables. The model and its fit must remain visible beside the result.
What happens if the baseline is statistically weak?
It should not be used to claim savings. Volts marks the model as unreliable and shows which history, variable or data-quality issue must be resolved.
How are savings translated into money?
The verified energy variance is priced against the site tariff, and the result shows the assumptions used.
Can occupancy or production be included in the baseline?
Yes. Add a variable only when the data is reliable and it improves the model.
Can we report CO₂ from the same readings?
Yes, when an approved emission factor is configured for the utility and period.
Does Volts guarantee a percentage saving?
No. Savings depend on the building, baseline, operating decisions and completed actions. Any portfolio average we show carries the population, period, method and range behind it.
Can this support ISO 50001 reporting?
Certification and audit acceptance depend on the organisation’s full management system and auditor.
Build the baseline before promising the saving.
Bring one site’s consumption history, tariff and known operating changes. We will test the available evidence, expose the gaps and show what a defensible performance period would require.