New Ways to Reduce Building Energy Consumption
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Traditional building management systems relyon manual adjustments and rule-based approaches to controlcritical building systems and infrastructure. Howeverin large part, these approaches oftenresult in suboptimal energy usage due to factorsincluding changing building use, weather patterns, and temperature variations.
In contrastwith more conventional methods, AI-powered algorithmscan learn from data on a building's energy consumption patterns to makeprecision-tuned adjustments and suggestions. Byexamining energy usage patterns and trends, AI algorithmscan recognize trends and associations that arenot immediately apparent to human observers.
There are several waysto apply AI technology in building energy management.
For instancewith AI algorithms, peak energy usage can be anticipated and adjusted, allowingthem to implement energy-saving strategies.
This canhelp to minimize energy consumption andreduced wear and PPA tear on energy-consuming systems.
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