RECOMMENDATION SYSTEMS FOR THE BUILT ENVIRONMENT: PREDICTING AND MANAGING THERMAL COMFORT & ENERGY EFFICIENCY

• Main Author: NG QI XUAN MADELINE
• Other Authors: BUILDING
• Format: Dissertation
• Language: English
• Published: 2021
• Subjects: 2020-2021; Building; Bachelor's; BACHELOR OF SCIENCE (PROJECT AND FACILITIES MANAGEMENT); Clayton Miller; Artificial Intelligence; Built Environment; Energy Efficiency; HVAC; Machine Learning; Predicting; Recommendation Systems; Research Subject Categories::TECHNOLOGY::Civil engineering and architecture::Building engineering; Thermal Comfort
• Online Access: https://scholarbank.nus.edu.sg/handle/10635/222620
• Institution: National University of Singapore

Bachelor's