A hybrid ensemble learning approach for indoor thermal comfort predictions utilizing the ASHRAE RP-884 database

• Main Authors: Feng, Xue, Eryan Bin Zainudin, Wong, Hong Wen, Tseng, King Jet
• Other Authors: Energy Research Institute @ NTU (ERI@N)
• Format: Article
• Language: English
• Published: 2023
• Subjects: Engineering::Civil engineering; Thermal Comfort; Machine Learning
• Online Access: https://hdl.handle.net/10356/172529
• Institution: Nanyang Technological University

Traditional Heating, Ventilation and Air-conditioning systems operate on a fixed schedule, regardless of occupancy or external temperature. With the rise of smart buildings, building managers and owners are seeking ways to reduce energy consumption while maintaining occupant comfort. There are vario...