Energy flexibility of residential buildings: A systematic review of characterization and quantification methods and applications
With building electric demand becoming increasingly dynamic, and a growing percentage of
intermittent renewable power generation from solar photovoltaics and wind turbines, the …
intermittent renewable power generation from solar photovoltaics and wind turbines, the …
[HTML][HTML] A review on occupancy prediction through machine learning for enhancing energy efficiency, air quality and thermal comfort in the built environment
The occupants' presence, activities, and behaviour can significantly impact the building's
performance and energy efficiency. Currently, heating, ventilation, and air-conditioning …
performance and energy efficiency. Currently, heating, ventilation, and air-conditioning …
Application of machine learning in thermal comfort studies: A review of methods, performance and challenges
ZQ Fard, ZS Zomorodian, SS Korsavi - Energy and Buildings, 2022 - Elsevier
This paper provides a systematic review on the application of Machine Learning (ML) in
thermal comfort studies to highlight the latest methods and findings and provide an agenda …
thermal comfort studies to highlight the latest methods and findings and provide an agenda …
Recognition and prediction of individual thermal comfort requirement based on local skin temperature
This study focuses on identifying individual thermal comfort requirement using infrared
images. The primary objective is to verify the feasibility of infrared images in predicting …
images. The primary objective is to verify the feasibility of infrared images in predicting …
Quantification through deep learning of sky view factor and greenery on urban streets during hot and cool seasons
The urban heat island effect has gained attention worldwide. Built environment
characteristics such as sky view factor (SVF) and green view index (GVI) can affect urban …
characteristics such as sky view factor (SVF) and green view index (GVI) can affect urban …
Smart monitoring technologies for personal thermal comfort: A review
Improving the efficiency of building energy systems is crucial to reach a goal related to the
high–performance building, particularly in the space heating and air-cooling domain, which …
high–performance building, particularly in the space heating and air-cooling domain, which …
Learning-Based personal models for joint optimization of thermal comfort and energy consumption in flexible workplaces
Due to distinct preferences across individuals, a large proportion of people are not satisfied
with the thermal environments of their workplaces. Although recent studies have …
with the thermal environments of their workplaces. Although recent studies have …
Computer vision-based smart HVAC control system for university classroom in a subtropical climate
To respond to the increasing demand for a comfortable, productive and energy efficient
study environment, the application of artificial intelligence technologies in the smart control …
study environment, the application of artificial intelligence technologies in the smart control …
The multisensory interaction between auditory, visual, and thermal to the overall comfort in public open space: A study in a tropical climate
Human comfort, one of the most critical factors in public space utilization, is influenced by a
multisensory interaction between stimuli in the built environment, namely auditory, thermal …
multisensory interaction between stimuli in the built environment, namely auditory, thermal …
A comparative analysis of machine learning and statistical methods for evaluating building performance: A systematic review and future benchmarking framework
The utilization of machine learning (ML) techniques is increasingly prevalent in the domain
of building performance evaluation. This trend is primarily driven by ML's capacity to capture …
of building performance evaluation. This trend is primarily driven by ML's capacity to capture …