Machine learning and deep learning for the prediction of thermal comfort based on a sustainable porous matrix: A bibliometrix analysis
Published in Energy Efficiency (Under Review), 2025
This bibliometrix study provides a systematic review of machine learning and deep learning applications in thermal comfort prediction using sustainable porous matrices. We analyze research trends, identify key methodologies, and highlight opportunities for advancing AI-driven approaches in energy-efficient building materials.
Recommended citation: quot;Machine learning and deep learning for the prediction of thermal comfort based on a sustainable porous matrix: A bibliometrix analysis." Energy Efficiency. Under review.
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