[HTML][HTML] An overview of machine learning applications for smart buildings

K Alanne, S Sierla - Sustainable Cities and Society, 2022 - Elsevier
The efficiency, flexibility, and resilience of building-integrated energy systems are
challenged by unpredicted changes in operational environments due to climate change and …

A systematic review of personal thermal comfort models

LA Martins, V Soebarto, T Williamson - Building and Environment, 2022 - Elsevier
Personal comfort models have shown to predict specific thermal comfort requirements more
accurately than aggregate models, increasing occupant acceptability and associated energy …

Intelligent building control systems for thermal comfort and energy-efficiency: A systematic review of artificial intelligence-assisted techniques

GH Merabet, M Essaaidi, MB Haddou… - … and Sustainable Energy …, 2021 - Elsevier
Building operations represent a significant percentage of the total primary energy consumed
in most countries due to the proliferation of Heating, Ventilation and Air-Conditioning …

Smart buildings features and key performance indicators: A review

J Al Dakheel, C Del Pero, N Aste, F Leonforte - Sustainable Cities and …, 2020 - Elsevier
Abstract The concept of Smart Buildings was introduced by the Energy Performance
Building Directive, with the aim to promote energy flexibility, renewable energy production …

Introducing IEA EBC annex 79: Key challenges and opportunities in the field of occupant-centric building design and operation

W O'Brien, A Wagner, M Schweiker, A Mahdavi… - Building and …, 2020 - Elsevier
Despite the fact that buildings are designed for occupants in principle, evidence suggests
buildings are often uncomfortable compared to the requirements of standards; difficult to …

Personal comfort models: Predicting individuals' thermal preference using occupant heating and cooling behavior and machine learning

J Kim, Y Zhou, S Schiavon, P Raftery, G Brager - Building and environment, 2018 - Elsevier
A personal comfort model is a new approach to thermal comfort modeling that predicts
individuals' thermal comfort responses, instead of the average response of a large …

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] Impact of indoor environmental quality on occupant well-being and comfort: A review of the literature

M Arif, M Katafygiotou, A Mazroei, A Kaushik… - International Journal of …, 2016 - Elsevier
Indoor environmental quality (IEQ) and its effect on occupant well-being and comfort is an
important area of study. This paper presents a state of the art study through extensive review …

Human-in-the-loop HVAC operations: A quantitative review on occupancy, comfort, and energy-efficiency dimensions

W Jung, F Jazizadeh - Applied Energy, 2019 - Elsevier
Heating, ventilation, and air-conditioning (HVAC) systems account for almost half of the
energy consumption in buildings. By benefiting from advancements in information and …

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 …