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. Howeverdue to limited resources and technical constraints, these approaches oftenlead to energy waste and PPA 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 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 waysto apply AI technology in building energy management.
For instancewith AI algorithms, peak energy usage can be anticipated and adjusted, allowingthem to implement energy-saving strategies.
This canlead to a reduction in energy waste andreduced wear and tear on energy-consuming systems.
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