Artificial Intelligence for Efficient Thermal Comfort Systems: Requirements, Current Applications and Future Directions

• Main Authors: Ghahramani, A., Galicia, P., Lehrer, D., Varghese, Z., Wang, Z., Pandit, Y.
• Other Authors: DEPT OF BUILDING
• Format: Review
• Published: Frontiers Media S.A. 2021
• Subjects: buildings energy efficiency; data mining; human building interactions; intelligent personal comfort systems; machine learning; personal thermal comfort
• Online Access: https://scholarbank.nus.edu.sg/handle/10635/196164
• Institution: National University of Singapore

10.3389/fbuil.2020.00049