There are patterns in just about everything your building does. Maybe the heat load in a conference room increases every day between 11 a.m. and 2 p.m. because of the sun. Maybe the lights in the office come on at 7:55 every morning and go off again at 6:45 every afternoon?
At Datakwip, we’ve developed next generation machine learning energy analytics to monitor your building – from the lighting control schedule in your office, to the AHU supply duct static pressure, to floor VAV damper positions, and everything in between. Our software then takes all the data generated by your existing energy management system, analyzes it, and gives you the insight you need to optimize your operations accordingly. We are able to identify inefficiencies– or savings opportunities – that traditional rules-based analytics can miss.
Our machine learning algorithms learn what the building’s maximum efficiency potential is, and uses that information to decrease operating expenses while maximizing the maintenance work flow process.