Advanced controls on energy reliability, flexibility, resilience, and occupant-centric control for smart and energy-efficient buildings—a state-of-the-art review
Advanced controls have attracted increasing interests due to the high requirement on smart
and energy-efficient (SEE) buildings and decarbonization in the building industry with …
and energy-efficient (SEE) buildings and decarbonization in the building industry with …
[HTML][HTML] A critical review of occupant energy consumption behavior in buildings: How we got here, where we are, and where we are headed
X Xu, H Yu, Q Sun, VWY Tam - Renewable and Sustainable Energy …, 2023 - Elsevier
Occupant behavior has been widely considered as one of the key influencing factors on
building energy consumption. The complexity of its formation mechanism and the dynamic …
building energy consumption. The complexity of its formation mechanism and the dynamic …
A practical deep reinforcement learning framework for multivariate occupant-centric control in buildings
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 …
heating, ventilation, and air conditioning (HVAC) systems. Although research on RL-based …
[HTML][HTML] Energy, thermal comfort, and indoor air quality: Multi-objective optimization review
T Al Mindeel, E Spentzou, M Eftekhari - Renewable and Sustainable …, 2024 - Elsevier
The reliance on optimization techniques for robust assessments of environmental and
energy-saving solutions has been largely driven by the increasing need to comply with …
energy-saving solutions has been largely driven by the increasing need to comply with …
[HTML][HTML] From time-series to 2d images for building occupancy prediction using deep transfer learning
Building occupancy information could aid energy preservation while simultaneously
maintaining the end-user comfort level. Energy conservation becomes essential since …
maintaining the end-user comfort level. Energy conservation becomes essential since …
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 …
Comparison of models for predicting winter individual thermal comfort based on machine learning algorithms
Abstract Machine learning-based human thermal comfort prediction is becoming
increasingly popular as artificial intelligence (AI) technologies advance. Human skin …
increasingly popular as artificial intelligence (AI) technologies advance. Human skin …
Human-building interaction for indoor environmental control: Evolution of technology and future prospects
This paper presents a data-driven literature review of human-building interaction (HBI),
which refers to the interaction between occupants and buildings. Through natural language …
which refers to the interaction between occupants and buildings. Through natural language …
Blockchain-based IoT system for personalized indoor temperature control
This study aimed to develop a blockchain-based IoT (BIoT) system for adopting automated
personalized indoor temperature control to the building management system (BMS) while …
personalized indoor temperature control to the building management system (BMS) while …
Performance evaluation of personal thermal comfort models for older people based on skin temperature, health perception, behavioural and environmental variables
Personal thermal comfort models hold the promise of a more accurate way to predict thermal
comfort and therefore a more reliable approach for managing indoor thermal environments …
comfort and therefore a more reliable approach for managing indoor thermal environments …