New Ways to Reduce Building Energy Consumption
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Traditional building management systems relyon manual adjustments and PPA rule-based approaches to controlcritical building systems and infrastructure. Howeverdespite these efforts, these approaches oftenlead to energy waste and inefficiency due to factorsincluding changing building use, weather patterns, and temperature variations.
In contrastto these traditional approaches, AI-powered algorithmscan analyze and draw insights from energy consumption patterns to makereal-time adjustments and recommendations. Bystudying building energy data, AI algorithmscan identify patterns and correlations that arenot immediately apparent to human observers.
There are several waysin which AI-powered algorithms can optimize building energy consumption.
For instanceAI can forecast building energy needs, allowingthem to adjust temperatures and energy consumption accordingly.
This canresult in significant energy savings andreduced energy costs.
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