New Ways to Reduce Building Energy Consumption
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Traditional building management systems relyon outdated technology and manual intervene to controlheating, PPA ventilation, and air conditioning systems. Howeverin large part, 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. Byanalyzing data points on energy consumption, occupancy rates, and environmental conditions, AI algorithmscan detect energy usage anomalies that arenot immediately apparent to human observers.
There are several waysto leverage AI algorithms for energy efficiency.
For instancewith AI algorithms, peak energy usage can be anticipated and adjusted, allowingthem to adjust temperatures and energy consumption accordingly.
This canlead to a reduction in energy waste andreduced energy costs.
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