• 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 strategies to minimize environmental impacts. 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 controlcritical building systems and infrastructure. Howeverdue to limited resources and technical constraints, these approaches oftenare ineffective at managing energy consumption due to factorsincluding changing building use, weather patterns, and temperature variations.

In contrastto these traditional approaches, AI-powered algorithmsare capable of analyzing energy usage data to makereal-time adjustments and recommendations. Byanalyzing data points on energy consumption, occupancy rates, and environmental conditions, 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 instancewith AI algorithms, peak energy usage can be anticipated and PPA adjusted, allowingthem to implement energy-saving strategies.

This canhelp to minimize energy consumption andreduced wear and tear on energy-consuming systems.