Intelligent Building Proactive Energy Management


Buildings in Singapore are responsible for half of the country’s electricity consumption, thereby making energy management one of the most crucial problems in intelligent buildings. Intelligent Building Proactive Energy Management (IBPEM) employs artificial intelligence and machine learning algorithms to perform smart data analytics to detect various anomalies and fault patterns.

These detections are beneficial as they provide indications of sub-optimal energy consumption activities and/or equipment failure that enable building operators to implement effective maintenance schedules. 


Last updated on: 10 Nov 2020