Real-time detection of abnormal consumptions

Data Analytics layer implemented in an Energy Service Company (ESCO) client through a dedicated API that learns from historical consumption data (currently it is being applied into electricity, gas and water submetering points) and identifies abnormal consumptions in real-time.

Currently being applied in large shopping malls, pools and other kind of service buildings but suited to be applied in other contexts.

Implemented through a dedicated API, it triggers real-time notifications on abnormal consumptions, connecting hundreds of datapoints and alerting end-clients to adopt corrective measures on under-performing equipment as soon as they are detected. Whit this information the end-client does not need to wait until the end of the month to acknowledge from the bill, that they have an under-performing or badly configured asset.