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 …

Machine learning for smart building applications: Review and taxonomy

D Djenouri, R Laidi, Y Djenouri… - ACM Computing Surveys …, 2019 - dl.acm.org
The use of machine learning (ML) in smart building applications is reviewed in this article.
We split existing solutions into two main classes: occupant-centric versus energy/devices …

Personalized human comfort in indoor building environments under diverse conditioning modes

D Li, CC Menassa, VR Kamat - Building and Environment, 2017 - Elsevier
In practice, building heating, ventilation, and air conditioning (HVAC) systems are essentially
set at nominal levels according to industry guidelines. However, several studies have …

User-led decentralized thermal comfort driven HVAC operations for improved efficiency in office buildings

F Jazizadeh, A Ghahramani, B Becerik-Gerber… - Energy and …, 2014 - Elsevier
Thermal comfort is one of the main driving factors in defining the operational settings of
HVAC systems, and it greatly impacts energy efficiency in buildings. Lack of information …

An online learning approach for quantifying personalized thermal comfort via adaptive stochastic modeling

A Ghahramani, C Tang, B Becerik-Gerber - Building and Environment, 2015 - Elsevier
HVAC systems are the major energy consumers in commercial buildings in the United
States. These systems are operated to provide comfortable thermal conditions for building …

Challenging the assumptions for thermal sensation scales

M Schweiker, X Fuchs, S Becker… - Building Research & …, 2017 - Taylor & Francis
Scales are widely used to assess the personal experience of thermal conditions in built
environments. Most commonly, thermal sensation is assessed, mainly to determine whether …

Machine learning method for real-time non-invasive prediction of individual thermal preference in transient conditions

AC Cosma, R Simha - Building and Environment, 2019 - Elsevier
This work introduces a new technique that provides real-time feedback to a Heating,
Ventilation, and Air Conditioning (HVAC) system controller with respect to the occupants' …

Comparative assessment of HVAC control strategies using personal thermal comfort and sensitivity models

W Jung, F Jazizadeh - Building and Environment, 2019 - Elsevier
Research efforts have demonstrated the potentials of improving the performance of Heating,
Ventilation, and Air-Conditioning (HVAC) systems by leveraging personalized thermal …

A knowledge based approach for selecting energy-aware and comfort-driven HVAC temperature set points

A Ghahramani, F Jazizadeh, B Becerik-Gerber - Energy and Buildings, 2014 - Elsevier
HVAC systems are responsible for providing acceptable thermal conditions and indoor air
quality for building occupants. Increasing thermal comfort and reducing HVAC related …

Occupant interactions with shading and lighting systems using different control interfaces: A pilot field study

SA Sadeghi, P Karava, I Konstantzos… - Building and …, 2016 - Elsevier
The paper presents a field study on human interactions with motorized roller shades and
dimmable electric lights in private offices of a high performance building. The experimental …