Deep vision-based occupancy counting: Experimental performance evaluation and implementation of ventilation control-Reference-Cited by-同舟云学术

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Deep vision-based occupancy counting: Experimental performance evaluation and implementation of ventilation control

Published:2022-09 Issue: Volume:223 Page:109496
ISSN:0360-1323
Container-title:Building and Environment
language:en
Short-container-title:Building and Environment

Author:

Choi Haneul,Lee Joosang,Yi Yeajin,Na Hooseung,Kang Kyungmo,Kim Taeyeon

Funder

Korea Institute of Energy Technology Evaluation and Planning

Ministry of Trade, Industry and Energy

Korea Ministry of Science and ICT

Ministry of Science, ICT and Future Planning

National Research Foundation of Korea

Publisher

Elsevier BV

Subject

Building and Construction,Geography, Planning and Development,Civil and Structural Engineering,Environmental Engineering

Reference50 articles.

1. A critical review of field implementations of occupant-centric building controls;Park;Build. Environ.,2019

2. Introducing IEA EBC annex 79: key challenges and opportunities in the field of occupant-centric building design and operation;O'Brien;Build. Environ.,2020

3. Occupant-centric sensing and controls,2018

4. High performance sequences of operation for HVAC systems,2018

5. Method for long-term mapping of occupancy patterns in open-plan and single office spaces by using passive-infrared (PIR) sensors mounted below desks;Sheikh Khan;Energy Build.,2021

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1. Multi-objectives occupant-centric control of thermostats and natural ventilation systems in cold climate conditions using real-time occupant-related information;Building and Environment;2024-09

2. Dynamic coordinated air supply for moving individuals in industrial settings: Effectiveness evaluation and demonstration;Building and Environment;2024-09

3. High-accuracy occupancy counting at crowded entrances for smart buildings;Energy and Buildings;2024-09

4. Occupant-Detection-Based Individual Control of Four-Way Air Conditioner for Sustainable Building Energy Management;Sustainability;2024-08-28

5. AI-Driven Innovations in Building Energy Management Systems: A Review of Potential Applications and Energy Savings;Energies;2024-08-27

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