Can Energy Optimization truly control extensive native BMS arrays?

Yes. Deep API layers explicitly authorize minor structural system adjustments continuously tuning complex local environmental controls absolutely.

Does the system strongly monitor off-hours extreme energy leakage?

Certainly. Algorithms strictly analyze incredibly massive weekend consumption spikes massively alerting macro operators entirely.

MIRA — ENERGY INTELLIGENCE

MIRAIdentifiesEnergyWasteAcrossEveryAsset.ThenTellsYouExactlyHowtoFixIt.

MIRA benchmarks every asset's energy consumption against ASHRAE and ENERGY STAR standards. She identifies HVAC and lighting waste at the asset level, quantifies the savings opportunity, and recommends specific corrective actions — automatically, across your entire portfolio.

The Challenge

The Energy Optimisation Bottleneck

Off-Hours Bleed

Massive commercial properties actively run incredibly wasteful HVAC and lighting loops explicitly during completely unoccupied weekend hours.

Blind Asset Degradation

Failing compressor motors natively pull exceptionally heavy electrical loads prior to outright destruction, remaining entirely undetected manually.

The Autonomous Fix

BMS Interfacing

Deep API integrations explicitly read live internal SCADA logs actively manipulating specific minor structural thermostatic variables intelligently.

Anomaly Overdraw Alerts

Algorithms establish exact local baseline KWh usage continuously pushing extremely high-priority work orders when structural spikes occur.

CAPABILITIES

Deep Vertical Mastery

How the FacilityFlow core engine autonomously executes Energy Optimisation.

Seasonal Extrapolation
Predictive intelligence deeply historically maps native temperature fluctuations explicitly forecasting massive localized seasonal utility burns natively.
Peak Shaving Automation
System intelligently precisely staggers major heavy-asset startup cycles entirely reducing localized extreme municipal grid demand charges.