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

Buildings, Journal Year: 2025, Volume and Issue: 15(7), P. 994 - 994

Published: March 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.

Language: Английский

BICAD bio-inspired design method and BICAD assistant design tool

Journal of Engineering Design, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 23

Published: March 4, 2025

Language: Английский

Artificial intelligence algorithms, simulation tools and software for optimization of adaptive facades: A systematic literature review

Journal of Building Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 112566 - 112566

Published: April 1, 2025

Language: Английский