Climate Action Leader
2022 AWARD FINALIST
Sponsored by Waka Kotahi
ESP has created an artificial intelligence system called CLIVE. It is powered by machine learning, that autonomously and continuously monitors and assesses utilities data. If it spots something out of place, it alerts customers and allows ESP engineers to find and rectify issues that otherwise may have gone unnoticed.
CLIVE considers the weather, shift patterns, building occupancy, geography and customer feedback to determine urgency. It uses historical data and predictive algorithms to figure out what is worth noting and what is not.
This makes CLIVE accurate. It identifies meaningful issues with 40 times more accuracy than a traditional threshold alert system. It does not matter if the site under CLIVE’s charge is a small office or a large industrial complex, CLIVE scales according to whatever system it's placed within.
CLIVE is part of a network, communicating with and learning from one another. This massively reduces the time-to-value for clients and ensures that engineers spend less time filtering alerts and more time making real change to ESP customers’ energy efficiency.