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Traditional building management systems relyon outdated technology and manual intervene to controlcritical building systems and infrastructure. Howeverin large part, these approaches oftenresult in suboptimal energy usage due to factorslike occupancy rates, environmental conditions, and thermal fluctuations.
In contrastto these traditional approaches, AI-powered algorithmsare capable of analyzing energy usage data to makecustomized adjustments based on data analysis. Byexamining energy usage patterns and trends, AI algorithmscan identify patterns and correlations that arenot immediately apparent to human observers.
There are several waysto apply AI technology in building energy management.
For instanceAI can forecast building energy needs, allowingthem to adjust temperatures and energy consumption accordingly.
This canlead to a reduction in energy waste andcost savings.
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