Data-driven prediction and optimization toward net-zero and positive-energy buildings: A systematic review

SN Mousavi, MG Villarreal-Marroquín… - Building and …, 2023 - Elsevier
Recent advances toward sustainable cities have promoted the concept of near-zero energy
consumption. A Positive Energy Building (PEB) model has been developed by the European …

[HTML][HTML] A review on occupancy prediction through machine learning for enhancing energy efficiency, air quality and thermal comfort in the built environment

W Zhang, Y Wu, JK Calautit - Renewable and Sustainable Energy Reviews, 2022 - Elsevier
The occupants' presence, activities, and behaviour can significantly impact the building's
performance and energy efficiency. Currently, heating, ventilation, and air-conditioning …

Evolution and performance analysis of adaptive thermal comfort models–A comprehensive literature review

R Yao, S Zhang, C Du, M Schweiker, S Hodder… - Building and …, 2022 - Elsevier
Thermal comfort is fundamental to indoor environmental design and operation as well as
indoor thermal environment evaluation. This paper has reviewed the historic evolution of …

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 …

A practical deep reinforcement learning framework for multivariate occupant-centric control in buildings

Y Lei, S Zhan, E Ono, Y Peng, Z Zhang, T Hasama… - Applied Energy, 2022 - Elsevier
Reinforcement learning (RL) has been shown to have the potential for optimal control of
heating, ventilation, and air conditioning (HVAC) systems. Although research on RL-based …

Personal thermal comfort models with wearable sensors

S Liu, S Schiavon, HP Das, M **, CJ Spanos - Building and Environment, 2019 - Elsevier
A personal comfort model is an approach to thermal comfort modeling, for thermal
environmental design and control, that predicts an individual's thermal comfort response …

Computer vision to advance the sensing and control of built environment towards occupant-centric sustainable development: A critical review

J Wang, L Jiang, H Yu, Z Feng, R Castaño-Rosa… - … and Sustainable Energy …, 2024 - Elsevier
As urban development progresses, the built environment control has faced more critical
challenges in improving energy efficiency, air quality, and environmental comfort. Occupant …

[HTML][HTML] Ten questions concerning well-being in the built environment

S Altomonte, J Allen, PM Bluyssen, G Brager… - Building and …, 2020 - Elsevier
Well-being in the built environment is a topic that features frequently in building standards
and certification schemes, in scholarly articles and in the general press. However, despite …

Review on occupant-centric thermal comfort sensing, predicting, and controlling

J **e, H Li, C Li, J Zhang, M Luo - Energy and Buildings, 2020 - Elsevier
Ensuring occupants' thermal comfort and work performance is one of the primary objectives
for building environment conditioning systems. In recent years, there emerged many …

The use of artificial intelligence (AI) methods in the prediction of thermal comfort in buildings: Energy implications of AI-based thermal comfort controls

J Ngarambe, GY Yun, M Santamouris - Energy and Buildings, 2020 - Elsevier
Buildings consume about 40% of globally-produced energy. A notable amount of this energy
is used to provide sufficient comfort levels to the building occupants. Moreover, given recent …