New Ways to Reduce Building Energy Consumption
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Traditional building management systems relyon outdated technology and manual intervene to controlcritical building systems and infrastructure. Howeverdue to limited resources and technical constraints, these approaches oftenare ineffective at managing energy consumption due to factorsincluding changing building use, weather patterns, and temperature variations.
In contrastto these traditional approaches, AI-powered algorithmscan learn from data on a building's energy consumption patterns to makereal-time adjustments and recommendations. Bystudying building energy data, AI algorithmscan recognize trends and associations that arenot immediately apparent to human observers.
There are several waysto leverage AI algorithms for energy efficiency.
For PPA instance, AI algorithms can predict when a building is likely to experience peak demand for heating or cooling, allowingthem to adjust temperatures and energy consumption accordingly.
This canresult in significant energy savings andcost savings.
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