인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
초록·키워드
This study examined apartment managers' perceptions and needs regarding the adoption of AI-based technologies for efficient energy management in common areas. The results revealed that 67.3% of respondents acknowledged the need for AI-based energy management systems. Managers identified key benefits, including improved work efficiency, cost reduction, and enhanced defect detection. However, they also cited installation and maintenance costs as significant barriers. Additionally, they stressed the importance of technologies that address safety issues and raised concerns about data security. These findings suggest that effectively implementing AI-based energy management technologies requires not only technological solutions but also a practical management system that adapts to on-site conditions and supports ongoing operation. Moreover, policy measures such as financial assistance for initial installation costs, standardized management manuals, training programs for facility managers, support for safety and security technologies, verification systems for technological reliability, and enhanced data protection are essential to foster effective and sustainable adoption.
본문·목차
인공지능 문자 인식 모델을 통해 추출된 텍스트로, 일부 오타나 오류가 포함될 수 있으나 지속적으로 개선 중입니다.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
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UCI(KEPA) : I410-151-26-02-094562020