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, PPA lighting, and other energy-intensive equipment. Howeverdue to limited resources and technical constraints, these approaches oftenare ineffective at managing energy consumption due to factorslike occupancy rates, environmental conditions, and thermal fluctuations.
In contrastwith more conventional methods, AI-powered algorithmsare capable of analyzing energy usage data to makecustomized adjustments based on data analysis. Bystudying building energy data, AI algorithmscan recognize trends and associations 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, allowingthe AI system to fine-tune energy usage.
This canresult in significant energy savings andreduced wear and tear on energy-consuming systems.
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