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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Optimal control method of HVAC based on multi-agent deep reinforcement learning
Qiming Fu, Xiyao Chen, Shuai Ma, et al.
Energy and Buildings (2022) Vol. 270, pp. 112284-112284
Closed Access | Times Cited: 52

Showing 26-50 of 52 citing articles:

Prospects and Challenges of Reinforcement Learning- Based HVAC Control
Ajifowowe Iyanu, Hojong Chang, C Lee, et al.
Journal of Building Engineering (2024), pp. 111080-111080
Closed Access | Times Cited: 3
MF^2: Model-free reinforcement learning for modeling-free building HVAC control with data-driven environment construction in a residential building
Man Wang, Borong Lin
Building and Environment (2023) Vol. 244, pp. 110816-110816
Closed Access | Times Cited: 8
A transfer learning approach to minimize reinforcement learning risks in energy optimization for automated and smart buildings
M. D. Genkin, J.J. McArthur
Energy and Buildings (2023) Vol. 303, pp. 113760-113760
Closed Access | Times Cited: 8
Predictive digital twin technologies for achieving net zero carbon emissions: a critical review and future research agenda
Faris Elghaish, Sandra Matarneh, M. Reza Hosseini, et al.
Smart and Sustainable Built Environment (2024)
Closed Access | Times Cited: 2
Joint optimization for temperature and humidity independent control system based on multi-agent reinforcement learning with cooperative mechanisms
Shuo Liu, Xiaohua Liu, Tao Zhang, et al.
Applied Energy (2024) Vol. 375, pp. 123968-123968
Closed Access | Times Cited: 2
An optimal configuration strategy of multi-chiller system based on overlap analysis and improved GA
Yuan Lyu, Xinqiao Jin, Qi Xue, et al.
Building and Environment (2024), pp. 112117-112117
Closed Access | Times Cited: 2
Priori knowledge-based deep reinforcement learning control for fan coil unit system
Ying Zhang, Xiyao Chen, Qiming Fu, et al.
Journal of Building Engineering (2023) Vol. 82, pp. 108157-108157
Closed Access | Times Cited: 7
Rough knowledge enhanced dueling deep Q-network for household integrated demand response optimization
Yongxin Su, Tao Zhang, Meng–Yao Xu, et al.
Sustainable Cities and Society (2023) Vol. 101, pp. 105065-105065
Closed Access | Times Cited: 7
Mitigating an adoption barrier of reinforcement learning-based control strategies in buildings
Aakash Krishna G S, Tianyu Zhang, Omid Ardakanian, et al.
Energy and Buildings (2023) Vol. 285, pp. 112878-112878
Closed Access | Times Cited: 5
Multi-Agent Optimal Control for Central Chiller Plants Using Reinforcement Learning and Game Theory
Shunian Qiu, Zhenhai Li, Zhihong Pang, et al.
Systems (2023) Vol. 11, Iss. 3, pp. 136-136
Open Access | Times Cited: 5
Adaptive control for circulating cooling water system using deep reinforcement learning
Jin Xu, Li Han, Qingxin Zhang
PLoS ONE (2024) Vol. 19, Iss. 7, pp. e0307767-e0307767
Open Access | Times Cited: 1
A comparative study of DQN and D3QN for HVAC system optimization control
Haosen Qin, Tao Meng, Kan Chen, et al.
Energy (2024) Vol. 307, pp. 132740-132740
Closed Access | Times Cited: 1
A novel load allocation strategy based on the adaptive chiller model with data augmentation
Zhiyang Jia, Xinqiao Jin, Yuan Lyu, et al.
Energy (2024) Vol. 309, pp. 133064-133064
Closed Access | Times Cited: 1
Exploring the Comprehensive Integration of Artificial Intelligence in Optimizing HVAC System Operations: A Review and Future Outlook
Shengze Lu, Shiyu Zhou, Yan Ding, et al.
Results in Engineering (2024), pp. 103765-103765
Open Access | Times Cited: 1
Deep Forest-Based DQN for Cooling Water System Energy Saving Control in HVAC
Zhicong Han, Qiming Fu, Jianping Chen, et al.
Buildings (2022) Vol. 12, Iss. 11, pp. 1787-1787
Open Access | Times Cited: 8
Datasets of a Multizone Office Building under Different HVAC System Operation Scenarios
Yeobeom Yoon, Sungkyun Jung, Piljae Im, et al.
Scientific Data (2022) Vol. 9, Iss. 1
Open Access | Times Cited: 8
A Scalable and Coordinated Energy Management for Electric Vehicles Based on Multiagent Reinforcement Learning Method
Ruien Bian, Xiuchen Jiang, Guoying Zhao, et al.
International Transactions on Electrical Energy Systems (2024) Vol. 2024, Iss. 1
Open Access | Times Cited: 1
Massive energy reduction and storage capacity relative to PCM physical size by integrating deep RL clustering and multi-stage strategies into smart buildings to grid reliability
Raad Z. Homod, Hayder I. Mohammed, Abdellatif M. Sadeq, et al.
Journal of Energy Storage (2024) Vol. 109, pp. 115058-115058
Closed Access | Times Cited: 1
MAQMC: Multi-Agent Deep Q-Network for Multi-Zone Residential HVAC Control
Zhengkai Ding, Qiming Fu, Jianping Chen, et al.
Computer Modeling in Engineering & Sciences (2023) Vol. 136, Iss. 3, pp. 2759-2785
Open Access | Times Cited: 2
Optimal design and operation of the hybrid absorption-compression chiller plants - Energy and economic analysis
Navid Moghaddas-Zadeh, Mahmood Farzaneh-Gord, William P. Bahnfleth
Journal of Building Engineering (2023) Vol. 82, pp. 108182-108182
Closed Access | Times Cited: 2
Deep Q-Network-Based Controller for Cabin Cooling System of Electric Vehicles
Wan-Sik Choi, Changsun Ahn
IEEE Access (2023) Vol. 11, pp. 137274-137284
Open Access | Times Cited: 2
Predictive AC Control Using Deep Learning: Improving Comfort and Energy Saving
Ahmad Azhan bin Mohd Ameeruddin, Wooi-Nee Tan, Ming-Tao Gan, et al.
JOIV International Journal on Informatics Visualization (2023) Vol. 7, Iss. 3-2, pp. 1066-1066
Open Access | Times Cited: 2
Optimal Design of Drying Process of the Potatoes with Multi-Agent Reinforced Deep Learning
Mohammad Yaghoub Abdollahzadeh Jamalabadi
Frontiers in Heat and Mass Transfer (2024) Vol. 22, Iss. 2, pp. 511-536
Open Access
Energy-efficient Pump Control in Industrial Cooling Water Systems Using a Multi-Agent System
Fabian Borst, Lukas Theisinger, Matthias Weigold
Procedia CIRP (2023) Vol. 116, pp. 41-46
Open Access | Times Cited: 1
The precision motor losses-based real-time optimal control method for air-conditioning system considering energy saving and thermal comfort
Dongdong Zhang, Pengcheng Du, Chunjiao Li, et al.
Applied Thermal Engineering (2023) Vol. 233, pp. 121199-121199
Closed Access | Times Cited: 1

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