• 목록
• 답변
• 글쓰기
• 게시판 리스트 옵션
  • 수정
  • 삭제

As concerns about climate change, energy efficiency, and sustainability continue to growgrow rapidly, buildings have become a major focusin efforts to reduce energy consumption. One innovative solutionis found in the application of machine learning technology to optimize building energy consumption.

Traditional building management systems relyon manual adjustments and rule-based approaches to controlheating, ventilation, and air conditioning systems. Howeverdespite these efforts, these approaches oftenlead to energy waste and inefficiency due to factorssuch as changing occupancy, external weather conditions, PPA and varying thermal loads.

In contrastto these traditional approaches, AI-powered algorithmscan learn from data on a building's energy consumption patterns 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 waysto apply AI technology in building energy management.

For instanceAI can forecast building energy needs, allowingthe AI system to fine-tune energy usage.

This canresult in significant energy savings andcost savings.