Peer-to-peer energy systems for connected communities: A review of recent advances and emerging challenges
After a century of relative stability in the electricity industry, extensive deployment of
distributed energy resources and recent advances in computation and communication …
distributed energy resources and recent advances in computation and communication …
Model predictive control of heating, ventilation, and air conditioning (HVAC) systems: A state-of-the-art review
Due to the fast advancement of communication and information technology, intelligent
buildings have garnered great interest. These buildings can forecast weather, ambient …
buildings have garnered great interest. These buildings can forecast weather, ambient …
A systematic review of personal thermal comfort models
Personal comfort models have shown to predict specific thermal comfort requirements more
accurately than aggregate models, increasing occupant acceptability and associated energy …
accurately than aggregate models, increasing occupant acceptability and associated energy …
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 …
Review on occupant-centric thermal comfort sensing, predicting, and controlling
Ensuring occupants' thermal comfort and work performance is one of the primary objectives
for building environment conditioning systems. In recent years, there emerged many …
for building environment conditioning systems. In recent years, there emerged many …
Stochastic planning and operation of energy hubs considering demand response programs using Benders decomposition approach
In this paper, an integrated approach for optimal planning and operation of energy hubs is
provided considering the effects of wind energy resources. Inevitable uncertainties of …
provided considering the effects of wind energy resources. Inevitable uncertainties of …
Thermal comfort modeling when personalized comfort systems are in use: Comparison of sensing and learning methods
A Aryal, B Becerik-Gerber - Building and Environment, 2020 - Elsevier
Centralized HVAC systems are usually unable to cater to individual requirements when
multiple occupants are present in the same zone. Personalized Comfort Systems (PCS) …
multiple occupants are present in the same zone. Personalized Comfort Systems (PCS) …
Agent-based modeling and simulation in architecture
Over the last two decades, the use of agent-based models (ABMs) to model and simulate the
dynamics of complex systems has increased significantly among various scientific fields …
dynamics of complex systems has increased significantly among various scientific fields …
Towards various occupants with different thermal comfort requirements: A deep reinforcement learning approach combined with a dynamic PMV model for HVAC …
Z Shi, R Zheng, J Zhao, R Shen, L Gu, Y Liu… - Energy Conversion and …, 2024 - Elsevier
Reinforcement learning (RL) has great potential in achieving energy-efficient, comfortable
and intelligent control of heating, ventilation and air conditioning (HVAC) systems. Although …
and intelligent control of heating, ventilation and air conditioning (HVAC) systems. Although …
Collective comfort optimization in multi-occupancy environments by leveraging personal comfort models and thermal distribution patterns
Buildings with shared spaces present a unique challenge for maintaining thermal comfort
due to their dynamic occupancy patterns and the potential for wide variation in occupant …
due to their dynamic occupancy patterns and the potential for wide variation in occupant …