Investigating spatial impact on indoor personal thermal comfort

Thermal comfort prediction is essential for both maintaining a favorable indoor environment and reducing energy consumption. Predicted Mean Vote (PMV), as the most popular research method, has a limitation in processing various complex parameters and investigating the individual difference in occupants' thermal preference. Therefore, machine learning (ML) method has been utilized in exploring the personal thermal comfort prediction because of...