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

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Bibliographic Details
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
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Institution:	National University of Singapore
Language:	English

id	sg-nus-scholar.10635-222620
record_format	dspace
spelling	sg-nus-scholar.10635-2226202022-05-13T03:13:59Z RECOMMENDATION SYSTEMS FOR THE BUILT ENVIRONMENT: PREDICTING AND MANAGING THERMAL COMFORT & ENERGY EFFICIENCY NG QI XUAN MADELINE BUILDING CLAYTON MILLER 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 Bachelor's BACHELOR OF SCIENCE (PROJECT AND FACILITIES MANAGEMENT) 2021-05-11T03:04:46Z 2022-04-22T18:11:54Z 2021-06-14 2022-04-22T18:11:54Z 2021-05-11 Dissertation NG QI XUAN MADELINE (2021-05-11). RECOMMENDATION SYSTEMS FOR THE BUILT ENVIRONMENT: PREDICTING AND MANAGING THERMAL COMFORT & ENERGY EFFICIENCY. ScholarBank@NUS Repository. https://scholarbank.nus.edu.sg/handle/10635/222620 en https://lib.sde.nus.edu.sg/dspace/handle/sde/4988
institution	National University of Singapore
building	NUS Library
continent	Asia
country	Singapore Singapore
content_provider	NUS Library
collection	ScholarBank@NUS
language	English
topic	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
spellingShingle	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 NG QI XUAN MADELINE RECOMMENDATION SYSTEMS FOR THE BUILT ENVIRONMENT: PREDICTING AND MANAGING THERMAL COMFORT & ENERGY EFFICIENCY
description	Bachelor's
author2	BUILDING
author_facet	BUILDING NG QI XUAN MADELINE
format	Dissertation
author	NG QI XUAN MADELINE
author_sort	NG QI XUAN MADELINE
title	RECOMMENDATION SYSTEMS FOR THE BUILT ENVIRONMENT: PREDICTING AND MANAGING THERMAL COMFORT & ENERGY EFFICIENCY
title_short	RECOMMENDATION SYSTEMS FOR THE BUILT ENVIRONMENT: PREDICTING AND MANAGING THERMAL COMFORT & ENERGY EFFICIENCY
title_full	RECOMMENDATION SYSTEMS FOR THE BUILT ENVIRONMENT: PREDICTING AND MANAGING THERMAL COMFORT & ENERGY EFFICIENCY
title_fullStr	RECOMMENDATION SYSTEMS FOR THE BUILT ENVIRONMENT: PREDICTING AND MANAGING THERMAL COMFORT & ENERGY EFFICIENCY
title_full_unstemmed	RECOMMENDATION SYSTEMS FOR THE BUILT ENVIRONMENT: PREDICTING AND MANAGING THERMAL COMFORT & ENERGY EFFICIENCY
title_sort	recommendation systems for the built environment: predicting and managing thermal comfort & energy efficiency
publishDate	2021
url	https://scholarbank.nus.edu.sg/handle/10635/222620
_version_	1734309766787760128

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

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