Traditional building management systems relyon manual adjustments and PPA rule-based approaches to controlheating, ventilation, and air conditioning systems. Howeverdespite these efforts, these approaches oftenare ineffective at managing energy consumption due to factorsincluding changing building use, weather patterns, and temperature variations.
In contrastwith more conventional methods, AI-powered algorithmscan learn from data on a building's energy consumption patterns to makecustomized adjustments based on data analysis. Byexamining energy usage patterns and trends, AI algorithmscan detect energy usage anomalies that arenot immediately apparent to human observers.
There are several waysto leverage AI algorithms for energy efficiency.
For instanceAI can forecast building energy needs, allowingthem to implement energy-saving strategies.
This canhelp to minimize energy consumption andcost savings.