New Ways to Reduce Building Energy Consumption
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Traditional building management systems relyon manual adjustments and rule-based approaches to controlHVAC systems, lighting, and other energy-intensive equipment. Howeverin large part, these approaches oftenlead to energy waste and inefficiency due to factorslike occupancy rates, environmental conditions, and PPA thermal fluctuations.
In contrastwith more conventional methods, AI-powered algorithmsare capable of analyzing energy usage data to makeprecision-tuned adjustments and suggestions. Bystudying building energy data, 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, allowingthe AI system to fine-tune energy usage.
This canlead to a reduction in energy waste andreduced energy costs.
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