Applications and Trends of Machine Learning in Building Energy Optimization: A Bibliometric Analysis

Buildings, Год журнала: 2025, Номер 15(7), С. 994 - 994

Опубликована: Март 21, 2025

With the rapid advancement of machine learning (ML) technologies, their innovative applications in enhancing building energy efficiency are increasingly prominent. Utilizing tools such as VOSviewer and Bibliometrix, this study systematically reviews body related literature, focusing on key emerging trends cutting-edge ML techniques, including deep learning, reinforcement unsupervised optimizing performance managing carbon emissions. First, paper delves into role prediction, intelligent management, sustainable design, with particular emphasis how smart systems leverage real-time data analysis prediction to optimize usage significantly reduce emissions dynamically. Second, summarizes technological evolution future sector identifies critical challenges faced by field. The findings provide a technology-driven perspective for advancing sustainability construction industry offer valuable insights research directions.

Язык: Английский

Advanced fault detection, diagnosis and prognosis in HVAC systems: Lifecycle insight, key challenges, and promising approaches

Renewable and Sustainable Energy Reviews, Год журнала: 2025, Номер 219, С. 115867 - 115867

Опубликована: Май 27, 2025

Язык: Английский

Deep learning GAN-based fault detection and diagnosis method for building air-conditioning systems

Sustainable Cities and Society, Год журнала: 2024, Номер unknown, С. 106068 - 106068

Опубликована: Дек. 1, 2024

Язык: Английский