Norway - 06-08-2019 — Building automation systems have brought dramatic growth to the HVAC industry, but with its benefits also arose new challenges. In order to successfully deal with complex sets of data and the interplay of different systems, supervised machine learning is the need of hour.
Still, the ultimate decision rests with building engineers, who take care of supervision and involve personal knowledge for further configuration.
Machines can process thousands of data points from hundreds of sources in no-time. This paves the way for HVAC-systems to be optimized with way more accuracy and makes operation respond to ever-changing aspects such as occupancy, temperature, humidity, and precipitation by using robust sets of data no human could comprehend.
Wisely control and monitor an automated HVAC-system, increase the performance of your facility, and save precious money and energy along the way.
Machine learning helps you detecting errors in early stages and immediately alerts you on your devices. ClevAir’s management system keeps an eye on your infrastructure, so you never need to worry about the state of your equipment. This results in better longevity of your building, and reduces maintenance costs on the side.Read how ClevAir solved ventilation issues in three separate building types, and brought energy savings to all.
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