Ten questions concerning reinforcement learning for building energy management

Z Nagy, G Henze, S Dey, J Arroyo, L Helsen… - Building and …, 2023 - Elsevier
As buildings account for approximately 40% of global energy consumption and associated
greenhouse gas emissions, their role in decarbonizing the power grid is crucial. The …

Design and application of occupant voting systems for collecting occupant feedback on indoor environmental quality of buildings–a review

DS Khan, J Kolarik, P Weitzmann - Building and Environment, 2020 - Elsevier
Tools leveraging information and communication technologies for collecting occupant
feedback on indoor environmental quality in buildings are receiving increasing attention …

Collective comfort optimization in multi-occupancy environments by leveraging personal comfort models and thermal distribution patterns

F Topak, GS Pavlak, MK Pekeriçli, J Wang… - Building and …, 2023 - Elsevier
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 …

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 …

Cohort comfort models—Using occupant's similarity to predict personal thermal preference with less data

M Quintana, S Schiavon, F Tartarini, J Kim… - Building and …, 2023 - Elsevier
Abstract Cohort Comfort Models (CCM) are introduced as a technique for creating a
personalized thermal prediction for a new building occupant without the need to collect large …

Can occupant voting systems provide energy savings and improved occupant satisfaction in buildings?—a review

D Sheikh Khan, J Kolarik - Science and Technology for the Built …, 2022 - Taylor & Francis
Occupant voting system (s)(OVS) are digital tools used to collect continuous and real-time
feedback on occupants' perception of and desired changes to the indoor environmental …

Energy saving potentials of integrating personal thermal comfort models for control of building systems: Comprehensive quantification through combinatorial …

W Jung, F Jazizadeh - Applied Energy, 2020 - Elsevier
Research studies provided evidence on the energy efficiency of integrating personal thermal
comfort profiles into the control loop of Heating, Ventilation, and Air-Conditioning (HVAC) …

Development of a personalized thermal comfort driven controller for HVAC systems

C Turhan, S Simani, GG Akkurt - Energy, 2021 - Elsevier
Increasing thermal comfort and reducing energy consumption are two main objectives of
advanced HVAC control systems. In this study, a thermal comfort driven control (PTC-DC) …

Fair-iot: Fairness-aware human-in-the-loop reinforcement learning for harnessing human variability in personalized iot

S Elmalaki - Proceedings of the International Conference on …, 2021 - dl.acm.org
Thanks to the rapid growth in wearable technologies, monitoring complex human context
becomes feasible, paving the way to develop human-in-the-loop IoT systems that naturally …

TrojanSense, a participatory sensing framework for occupant-aware management of thermal comfort in campus buildings

K Konis, S Blessenohl, N Kedia, V Rahane - Building and Environment, 2020 - Elsevier
This paper describes the development of TrojanSense, a participatory sensing framework
developed to collect, analyze and report user assessments of thermal preference at the …