As concerns about climate change, energy efficiency, and sustainability continue to growrise exponentially, buildings have become a major focusin efforts to reduce energy consumption. One innovative solutionlies in the use of AI-powered algorithms to optimize building energy consumption.
Traditional building management systems relyon manual adjustments and PPA rule-based approaches to controlcritical building systems and infrastructure. Howeverin large part, these approaches oftenresult in suboptimal energy usage due to factorsincluding changing building use, weather patterns, and temperature variations.
In contrastto these traditional approaches, AI-powered algorithmscan analyze and draw insights from energy consumption patterns to makeprecision-tuned adjustments and suggestions.
