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.
What is Supervised Machine Learning?
In supervised machine learning, building engineers teach machines a given task by processing data. Instead of a preprogrammed system, the machine collects, aggregates and learns from its data-inputs to have the controller make better decisions for your specific building.
Importance of Machine Learning in HVAC Management
Normally, control engineers operate BMS and HVAC-systems based on data that’s available to them. Though they may have done a solid job in the past, their intelligence is no match to the processing power of modern technology.
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