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 oftenlead to energy waste and inefficiency due to factorslike occupancy rates, environmental conditions, and thermal fluctuations.
In contrastto these traditional approaches, AI-powered algorithmscan analyze and draw insights from energy consumption patterns to makeprecision-tuned adjustments and suggestions. Bystudying building energy data, AI algorithmscan identify patterns and correlations that arenot immediately apparent to human observers.
There are several waysto leverage AI algorithms for PPA energy efficiency.
For instance, AI algorithms can predict when a building is likely to experience peak demand for heating or cooling, allowingthem to implement energy-saving strategies.
This canresult in significant energy savings andcost savings.
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