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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:

A multi-step predictive deep reinforcement learning algorithm for HVAC control systems in smart buildings
Xiangfei Liu, Mifeng Ren, Zhile Yang, et al.
Energy (2022) Vol. 259, pp. 124857-124857
Closed Access | Times Cited: 41

Showing 1-25 of 41 citing articles:

Data-driven predictive control for smart HVAC system in IoT-integrated buildings with time-series forecasting and reinforcement learning
Dian Zhuang, Vincent J.L. Gan, Zeynep Duygu Tekler, et al.
Applied Energy (2023) Vol. 338, pp. 120936-120936
Closed Access | Times Cited: 101
Advanced controls on energy reliability, flexibility and occupant-centric control for smart and energy-efficient buildings
Zhengxuan Liu, Xiang Zhang, Ying Sun, et al.
Energy and Buildings (2023) Vol. 297, pp. 113436-113436
Open Access | Times Cited: 59
A review on enhancing energy efficiency and adaptability through system integration for smart buildings
Um-e-Habiba, Ijaz Ahmed, Mohammad Asif, et al.
Journal of Building Engineering (2024) Vol. 89, pp. 109354-109354
Closed Access | Times Cited: 27
A comprehensive review of predictive control strategies in heating, ventilation, and air-conditioning (HVAC): Model-free VS model
Xin Xin, Zhihao Zhang, Yong Zhou, et al.
Journal of Building Engineering (2024) Vol. 94, pp. 110013-110013
Closed Access | Times Cited: 19
Multi-agent deep reinforcement learning based HVAC control for multi-zone buildings considering zone-energy-allocation optimization
Wenping Xue, Ning Jia, Ming Zhao
Energy and Buildings (2025) Vol. 329, pp. 115241-115241
Closed Access | Times Cited: 2
A general energy-aware framework with multi-modal information and multi-task coordination for smart management towards net-zero emissions in energy system
Siliang Chen, Xinbin Liang, Zheming Zhang, et al.
Renewable and Sustainable Energy Reviews (2025) Vol. 212, pp. 115387-115387
Closed Access | Times Cited: 1
High spatial granularity residential heating load forecast based on Dendrite net model
Lidong Zhang, Jiao Li, Xiandong Xu, et al.
Energy (2023) Vol. 269, pp. 126787-126787
Closed Access | Times Cited: 29
AI-Driven Innovations in Building Energy Management Systems: A Review of Potential Applications and Energy Savings
Dalia Mohammed Talat Ebrahim Ali, Violeta Motuzienė, Rasa Džiugaitė-Tumėnienė
Energies (2024) Vol. 17, Iss. 17, pp. 4277-4277
Open Access | Times Cited: 9
Energy and comfort aware operation of multi-zone HVAC system through preference-inspired deep reinforcement learning
Can Cui, Jing Xue
Energy (2024) Vol. 292, pp. 130505-130505
Closed Access | Times Cited: 5
Study on a new metaheuristic algorithm – Tribal intelligent evolution optimization and its application in optimal control of cooling plants
Ye Yao, Xiaoxi Hong, Lei Xiong
Applied Energy (2025) Vol. 383, pp. 125339-125339
Closed Access
State of the Art
Tianyi Zhao, Jiaming Wang, Yi‐Ting Wang
(2025), pp. 11-32
Closed Access
Enhancing cold storage efficiency: Continuous deep deterministic policy gradient approach to energy optimization utilizing strategic sensor input data
Jong-Whi Park, Young-Min Ju, Hak‐Sung Kim
Energy Conversion and Management X (2025), pp. 100901-100901
Open Access
Sustainable residential building energy consumption forecasting for smart cities using optimal weighted voting ensemble learning
Mofadal Alymani, Hanan Abdullah Mengash, Mohammed Aljebreen, et al.
Sustainable Energy Technologies and Assessments (2023) Vol. 57, pp. 103271-103271
Closed Access | Times Cited: 14
Dynamic indoor thermal environment using Reinforcement Learning-based controls: Opportunities and challenges
Arnab Chatterjee, Dolaana Khovalyg
Building and Environment (2023) Vol. 244, pp. 110766-110766
Open Access | Times Cited: 14
A SVM based demand response capacity prediction model considering internal factors under composite program
Xiaodong Chen, Xinxin Ge, Rongfu Sun, et al.
Energy (2024) Vol. 300, pp. 131460-131460
Closed Access | Times Cited: 4
Advancing smart net-zero energy buildings with renewable energy and electrical energy storage
Dong Luo, Jia Liu, Huijun Wu, et al.
Journal of Energy Storage (2025) Vol. 114, pp. 115850-115850
Closed Access
Optimal control of HVAC systems through active disturbance rejection control-assisted reinforcement learning in energy-aware buildings
Can Cui, Jiahui Xue, Lanjun Liu
Energy (2025), pp. 135824-135824
Closed Access
Real-time automatic control of multi-energy system for smart district community: A coupling ensemble prediction model and safe deep reinforcement learning
Tobi Michael Alabi, Lin Lu, Zaiyue Yang
Energy (2024) Vol. 304, pp. 132209-132209
Closed Access | Times Cited: 3
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
50% reduction in energy consumption in an actual cold storage facility using a deep reinforcement learning-based control algorithm
Jong-Whi Park, Young-Min Ju, You-Gwon Kim, et al.
Applied Energy (2023) Vol. 352, pp. 121996-121996
Closed Access | Times Cited: 9
Machine learning-based energy use prediction for the smart building energy management system
Mustika Sari, Mohammed Ali Berawi, Teuku Yuri M. Zagloel, et al.
Journal of Information Technology in Construction (2023) Vol. 28, pp. 622-645
Open Access | Times Cited: 7
Real-time Optimal Hierarchy Control of HVAC System with Maximized Ancillary Service Support in Smart Buildings: An Experimental Approach
Manish Yadav, Ashu Verma, B.K. Panigrahi, et al.
Energy and Buildings (2024) Vol. 324, pp. 114844-114844
Closed Access | Times Cited: 2
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: 2
A two-phase online air balancing method for multi-zone ventilation systems based on distributed finite-time control
Can Cui, Zhangjie Liu, Ming Li
Building and Environment (2023) Vol. 230, pp. 110030-110030
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
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