Energy management & NILM
A 12% increase in energy use does not identify the load or operating condition behind it. Finance needs attribution by line and shift, while ESG reporting needs a traceable conversion from measured kWh. Full sub-metering can be too expensive for every circuit.
We specify the field hardware and the software around the same asset model, with one engineering team responsible for the result.
NILM load-monitoring node (SenseIoT)
Disaggregates loads from one measurement point
3-phase energy meter
Provides panel- and feeder-level measurements
Smart relay / load controller
Acts on the insight automatically
What the platform does with all that hardware data.
Load disaggregation
NILM estimates consumption by appliance or line, making it possible to trace a 12% increase to a specific load and shift.
Baselines & anomaly detection
Per-feeder baselines expose drift and loads that continue outside expected operating hours.
Occupancy-driven control
HVAC and lighting schedules follow measured occupancy while preserving local override.
kWh → CO₂ reporting
Measured consumption is converted to CO₂-equivalent with the factor and reporting period kept in the audit trail.
Hardware and software, one proposal.
Bring the asset, interfaces, and operating constraint. We will map the likely bill of materials and the first platform workflow.