Machine Learning based Prediction of Thermal Comfort in Buildings of Equatorial Singapore

• المؤلفون الرئيسيون: Chaudhuri, Tanaya, Soh, Yeng Chai, Li, Hua, Xie, Lihua
• مؤلفون آخرون: School of Electrical and Electronic Engineering
• التنسيق: Conference or Workshop Item
• اللغة: English
• منشور في: 2017
• الموضوعات: Thermal comfort prediction; Machine learning
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/82140; http://hdl.handle.net/10220/42964

Majority of energy consumption in Singapore buildings is due to air-conditioning, because of its hot and humid weather. Besides attaining a healthy indoor environment, a prior knowledge about the occupant’s thermal comfort can be beneficial in reducing energy consumption, as it can save energy which...