Expertise
Artificial intelligence put to work where it earns its keep in energy — load forecasting, anomaly detection across metering streams and self-updating measurement & verification — with cybernetics keeping the control loops tuned to the optimum the model promised.
Expertise
Led by a partner who completed MIT's Artificial Intelligence: Implications for Business Strategy programme, we apply machine learning to load forecasting, anomaly detection across metering streams, and measurement & verification that updates itself — framed as a board-level decision, never sold as a black box.
An in-house cyberneticist in systems theory and feedback control tunes the regulation loops of SCADA and building-management systems, so a plant actually holds its modelled optimum under real load — closing the gap where paper savings quietly leak away.
Analytics only pay if they change how the plant runs. We connect the modelling to the control system and to the monthly measurement & verification, so an insight becomes a setpoint and a setpoint becomes a saving verified on the meter.
No. The point is action: forecasts and anomalies drive decisions and control changes, and the effect is verified on the meter — not left on a screen.
The science of control and feedback. We use it to tune the loops that keep a plant at its optimum as the load changes.
We work within your governance. The method does not depend on exporting sensitive data off site.
A partner completed MIT's Artificial Intelligence: Implications for Business Strategy programme, so the modelling answers a business question rather than a technical curiosity.
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Related services: Energy audits · Energy management