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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:

Intelligent multi-zone residential HVAC control strategy based on deep reinforcement learning
Yan Du, Helia Zandi, Olivera Kotevska, et al.
Applied Energy (2020) Vol. 281, pp. 116117-116117
Open Access | Times Cited: 189

Showing 26-50 of 189 citing articles:

A new ensemble deep graph reinforcement learning network for spatio-temporal traffic volume forecasting in a freeway network
Pan Shang, Xinwei Liu, Chengqing Yu, et al.
Digital Signal Processing (2022) Vol. 123, pp. 103419-103419
Closed Access | Times Cited: 43
Comparative study of model-based and model-free reinforcement learning control performance in HVAC systems
Cheng Gao, Dan Wang
Journal of Building Engineering (2023) Vol. 74, pp. 106852-106852
Closed Access | Times Cited: 40
A comprehensive review of the applications of machine learning for HVAC
Siyang Zhou, A.A. Shah, Puiki Leung, et al.
DeCarbon (2023) Vol. 2, pp. 100023-100023
Open Access | Times Cited: 39
A new framework integrating reinforcement learning, a rule-based expert system, and decision tree analysis to improve building energy flexibility
Xinlei Zhou, Han Du, Yongjun Sun, et al.
Journal of Building Engineering (2023) Vol. 71, pp. 106536-106536
Open Access | Times Cited: 36
Reinforcement Learning-Based Intelligent Control Strategies for Optimal Power Management in Advanced Power Distribution Systems: A Survey
Mudhafar Al-Saadi, Maher Al‐Greer, Michael Short
Energies (2023) Vol. 16, Iss. 4, pp. 1608-1608
Open Access | Times Cited: 33
Artificial intelligence enabled energy-efficient heating, ventilation and air conditioning system: Design, analysis and necessary hardware upgrades
Dasheng Lee, Shang-Tse Lee
Applied Thermal Engineering (2023) Vol. 235, pp. 121253-121253
Open Access | Times Cited: 29
District Cooling System Control for Providing Operating Reserve Based on Safe Deep Reinforcement Learning
Peipei Yu, Hongcai Zhang, Yonghua Song, et al.
IEEE Transactions on Power Systems (2023) Vol. 39, Iss. 1, pp. 40-52
Open Access | Times Cited: 27
Effective pre-training of a deep reinforcement learning agent by means of long short-term memory models for thermal energy management in buildings
Davide Coraci, Silvio Brandi, Alfonso Capozzoli
Energy Conversion and Management (2023) Vol. 291, pp. 117303-117303
Open Access | Times Cited: 27
Energy optimization for HVAC systems in multi-VAV open offices: A deep reinforcement learning approach
Hao Wang, Xiwen Chen, Natan Vital, et al.
Applied Energy (2023) Vol. 356, pp. 122354-122354
Open Access | Times Cited: 26
Emerging Technologies for 6G Communication Networks: Machine Learning Approaches
Annisa Anggun Puspitasari, To Truong An, Mohammed H. Alsharif, et al.
Sensors (2023) Vol. 23, Iss. 18, pp. 7709-7709
Open Access | Times Cited: 24
A hierarchical HVAC optimal control method for reducing energy consumption and improving indoor air quality incorporating soft Actor-Critic and hybrid search optimization
Can Cui, Yuntao Liu
Energy Conversion and Management (2024) Vol. 302, pp. 118118-118118
Closed Access | Times Cited: 13
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: 11
Recent advances in data mining and machine learning for enhanced building energy management
Xinlei Zhou, Han Du, Shan Xue, et al.
Energy (2024) Vol. 307, pp. 132636-132636
Open Access | Times Cited: 8
Deep Reinforcement Learning-Based Demand Response for Smart Facilities Energy Management
Renzhi Lu, Ruichang Bai, Zhe Luo, et al.
IEEE Transactions on Industrial Electronics (2021) Vol. 69, Iss. 8, pp. 8554-8565
Closed Access | Times Cited: 50
Model-Based and Data-Driven HVAC Control Strategies for Residential Demand Response
Xiao Kou, Yan Du, Fangxing Li, et al.
IEEE Open Access Journal of Power and Energy (2021) Vol. 8, pp. 186-197
Open Access | Times Cited: 42
Dynamics analysis of a novel hybrid deep clustering for unsupervised learning by reinforcement of multi-agent to energy saving in intelligent buildings
Raad Z. Homod, Hussein Togun, Ahmed Kadhim Hussein, et al.
Applied Energy (2022) Vol. 313, pp. 118863-118863
Closed Access | Times Cited: 36
Universal workflow of artificial intelligence for energy saving
Dasheng Lee, Chen Yan-tang, Shih-Lung Chao
Energy Reports (2022) Vol. 8, pp. 1602-1633
Open Access | Times Cited: 35
A predictive and adaptive control strategy to optimize the management of integrated energy systems in buildings
Silvio Brandi, A. Gallo, Alfonso Capozzoli
Energy Reports (2022) Vol. 8, pp. 1550-1567
Open Access | Times Cited: 34
Building Energy Consumption Prediction Using a Deep-Forest-Based DQN Method
Qiming Fu, Ke Li, Jianping Chen, et al.
Buildings (2022) Vol. 12, Iss. 2, pp. 131-131
Open Access | Times Cited: 31
Deep reinforcement learning-based joint load scheduling for household multi-energy system
Liyuan Zhao, Ting Yang, Wei Li, et al.
Applied Energy (2022) Vol. 324, pp. 119346-119346
Closed Access | Times Cited: 31
A data-model fusion dispatch strategy for the building energy flexibility based on the digital twin
Yuguang Song, Mingchao Xia, Qifang Chen, et al.
Applied Energy (2022) Vol. 332, pp. 120496-120496
Closed Access | Times Cited: 28
Fusion of Microgrid Control With Model-Free Reinforcement Learning: Review and Vision
Buxin She, Fangxing Li, Hantao Cui, et al.
IEEE Transactions on Smart Grid (2022) Vol. 14, Iss. 4, pp. 3232-3245
Open Access | Times Cited: 28
Deep Reinforcement Learning for Real-Time Energy Management in Smart Home
Guixi Wei, Ming Chi, Zhi‐Wei Liu, et al.
IEEE Systems Journal (2023) Vol. 17, Iss. 2, pp. 2489-2499
Closed Access | Times Cited: 21
Hybrid data-driven method for low-carbon economic energy management strategy in electricity-gas coupled energy systems based on transformer network and deep reinforcement learning
Bin Zhang, Weihao Hu, Xiao Xu, et al.
Energy (2023) Vol. 273, pp. 127183-127183
Closed Access | Times Cited: 21
Review and Evaluation of Reinforcement Learning Frameworks on Smart Grid Applications
Dimitrios Vamvakas, Panagiotis Michailidis, Christos Korkas, et al.
Energies (2023) Vol. 16, Iss. 14, pp. 5326-5326
Open Access | Times Cited: 21

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