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Multi-Facility Energy Usage Monitoring and Optimization

by Cre8 IOT

Energy Intelligence normalizes the facility model, detects anomalies.

Cre8 IOT
Industry
Buildings & FacilitiesHealthcareIndustrial & ManufacturingCommercialHospitalsManufacturing
Use cases
Energy MeteringEnergy OptimizationHVAC Automation
Deployment
Public SaaSEdge/Local
Services
InstallationSystem IntegrationSupport & MaintenanceData AnalyticsSoftware Platform
Available in
MalaysiaSingaporeIndia
Add to RFP
The challenge

What operators are up against

Operators responsible for hospitals, hotels, commercial buildings, schools, factories, city facilities, electrical circuits, HVAC systems, and utility meters cannot continuously inspect every operating condition or developing fault. Periodic checks leave gaps between readings, while isolated local indicators provide limited history and context. A late response can cause downtime, safety exposure, equipment damage, or incomplete compliance evidence. Teams need timely measurements, clear exceptions, and a defined operating response.

The solution

How Multi-Facility Energy Usage Monitoring and Optimization addresses it

Multi-Facility Energy Usage Monitoring and Optimization combines connected field data with application software. Unarvu nodes and supported integrations collect electricity, water, gas, HVAC, maximum-demand, bill, BMS, and SCADA records. Energy Intelligence normalizes the facility model, detects anomalies, forecasts cost and demand, and prepares EECA and ESG evidence. Facility teams correct waste, control supported HVAC or load, schedule maintenance, and verify efficiency improvements.

How it works

Teams configure the monitored assets, users, and operating rules. Unarvu nodes and supported integrations collect electricity, water, gas, HVAC, maximum-demand, bill, BMS, and SCADA records. Meters, BMS, SCADA, sensors, documents, and supported APIs feed the facility model through configured paths; no single network bearer is mandatory. Energy Intelligence normalizes the facility model, detects anomalies, forecasts cost and demand, and prepares EECA and ESG evidence. Facility teams correct waste, control supported HVAC or load, schedule maintenance, and verify efficiency improvements.

SenseUnarvu nodes and supported integrations collect electricity, water, gas, HVAC, maximum-demand, bill, BMS, and SCADA records.
ConnectMeters, BMS, SCADA, sensors, documents, and supported APIs feed the facility model through configured paths; no single network bearer is mandatory.
AnalyzeEnergy Intelligence normalizes the facility model, detects anomalies, forecasts cost and demand, and prepares EECA and ESG evidence.
ActFacility teams correct waste, control supported HVAC or load, schedule maintenance, and verify efficiency improvements.

Vendor documentation: vendor website

Evidence level: L1 · Vendor-stated: how evidence levels work

Why teams choose it

Field data capture

Unarvu nodes and supported integrations collect electricity, water, gas, HVAC, maximum-demand, bill, BMS, and SCADA records

Supported data exchange

Meters, BMS, SCADA, sensors, documents, and supported APIs feed the facility model through configured paths; no single network bearer is mandatory

Exception detection

Energy Intelligence normalizes the facility model, detects anomalies, forecasts cost and demand, and prepares EECA and ESG evidence

Maintenance workflow

Facility teams correct waste, control supported HVAC or load, schedule maintenance, and verify efficiency improvements

Deployment context

Designed for Malaysian healthcare, hospitality, commercial, educational, industrial, and smart-city facilities from single buildings to coordinated portfolios

Role-based visibility

Authorized users can review current status, history, and operating exceptions

What’s different

Attributes fewer than 20% of comparable Buildings & Facilities listings share:

HVAC Automation

Prerequisites

Limitations / not covered

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