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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:

Dynamic energy conversion and management strategy for an integrated electricity and natural gas system with renewable energy: Deep reinforcement learning approach
Bin Zhang, Weihao Hu, Jinghua Li, et al.
Energy Conversion and Management (2020) Vol. 220, pp. 113063-113063
Closed Access | Times Cited: 104

Showing 1-25 of 104 citing articles:

Reinforcement Learning and Its Applications in Modern Power and Energy Systems: A Review
Di Cao, Weihao Hu, Junbo Zhao, et al.
Journal of Modern Power Systems and Clean Energy (2020) Vol. 8, Iss. 6, pp. 1029-1042
Open Access | Times Cited: 275
Real-time optimal energy management of microgrid with uncertainties based on deep reinforcement learning
Chenyu Guo, Xin Wang, Yihui Zheng, et al.
Energy (2021) Vol. 238, pp. 121873-121873
Closed Access | Times Cited: 141
Methodology for multi-objective optimization of wind turbine/battery/electrolyzer system for decentralized clean hydrogen production using an adapted power management strategy for low wind speed conditions
Hammou Tebibel
Energy Conversion and Management (2021) Vol. 238, pp. 114125-114125
Closed Access | Times Cited: 113
Applications of reinforcement learning for building energy efficiency control: A review
Qiming Fu, Zhicong Han, Jianping Chen, et al.
Journal of Building Engineering (2022) Vol. 50, pp. 104165-104165
Closed Access | Times Cited: 100
Multi-agent deep reinforcement learning based distributed control architecture for interconnected multi-energy microgrid energy management and optimization
Bin Zhang, Weihao Hu, Amer M. Y. M. Ghias, et al.
Energy Conversion and Management (2023) Vol. 277, pp. 116647-116647
Closed Access | Times Cited: 58
Real-time optimization of large-scale hydrogen production systems using off-grid renewable energy: Scheduling strategy based on deep reinforcement learning
Tao Liang, Lulu Chai, Xin Cao, et al.
Renewable Energy (2024) Vol. 224, pp. 120177-120177
Closed Access | Times Cited: 21
Data-driven optimal energy management for a wind-solar-diesel-battery-reverse osmosis hybrid energy system using a deep reinforcement learning approach
Guozhou Zhang, Weihao Hu, Di Cao, et al.
Energy Conversion and Management (2020) Vol. 227, pp. 113608-113608
Closed Access | Times Cited: 100
Techno-economic analysis of both on-grid and off-grid hybrid energy system with sensitivity analysis for an educational institution
J. Jeslin Drusila Nesamalar, S. Suruthi, S. Charles Raja, et al.
Energy Conversion and Management (2021) Vol. 239, pp. 114188-114188
Closed Access | Times Cited: 92
Key technologies for smart energy systems: Recent developments, challenges, and research opportunities in the context of carbon neutrality
Hongyu Zhu, Hui Hwang Goh, Dongdong Zhang, et al.
Journal of Cleaner Production (2021) Vol. 331, pp. 129809-129809
Closed Access | Times Cited: 91
Soft actor-critic –based multi-objective optimized energy conversion and management strategy for integrated energy systems with renewable energy
Bin Zhang, Weihao Hu, Di Cao, et al.
Energy Conversion and Management (2021) Vol. 243, pp. 114381-114381
Closed Access | Times Cited: 84
Operational optimization for off-grid renewable building energy system using deep reinforcement learning
Yuan Gao, Yuki Matsunami, Shohei Miyata, et al.
Applied Energy (2022) Vol. 325, pp. 119783-119783
Open Access | Times Cited: 53
Sustainable city concept based on green hydrogen energy
İbrahim Dinçer, Nader Javani, G. Kubilay Karayel
Sustainable Cities and Society (2022) Vol. 87, pp. 104154-104154
Closed Access | Times Cited: 46
Data-driven stochastic energy management of multi energy system using deep reinforcement learning
Yanting Zhou, Zhongjing Ma, Jinhui Zhang, et al.
Energy (2022) Vol. 261, pp. 125187-125187
Closed Access | Times Cited: 41
Optimal planning of hybrid energy storage systems using curtailed renewable energy through deep reinforcement learning
Dongju Kang, Doeun Kang, Sumin Hwangbo, et al.
Energy (2023) Vol. 284, pp. 128623-128623
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: 26
Novel Data-Driven decentralized coordination model for electric vehicle aggregator and energy hub entities in multi-energy system using an improved multi-agent DRL approach
Bin Zhang, Weihao Hu, Di Cao, et al.
Applied Energy (2023) Vol. 339, pp. 120902-120902
Closed Access | Times Cited: 23
Artificial intelligence for hydrogen-enabled integrated energy systems: A systematic review
Siripond Mullanu, Caslon Chua, Andreea Molnar, et al.
International Journal of Hydrogen Energy (2024)
Open Access | Times Cited: 9
Energy management in integrated energy system with electric vehicles as mobile energy storage: An approach using bi-level deep reinforcement learning
Longxiang Chen, Huan He, Rui Jing, et al.
Energy (2024) Vol. 307, pp. 132757-132757
Closed Access | Times Cited: 8
Operation strategy optimization of combined cooling, heating, and power systems with energy storage and renewable energy based on deep reinforcement learning
Yingjun Ruan, Zhenyu Liang, Fanyue Qian, et al.
Journal of Building Engineering (2022) Vol. 65, pp. 105682-105682
Closed Access | Times Cited: 30
Learning-based supervisory control of dual mode engine-based hybrid electric vehicle with reliance on multivariate trip information
Hao Zhang, Shang Liu, Nuo Lei, et al.
Energy Conversion and Management (2022) Vol. 257, pp. 115450-115450
Closed Access | Times Cited: 29
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
Low-carbon Economic Dispatch of Electricity-Heat-Gas Integrated Energy Systems Based on Deep Reinforcement Learning
Yuxian Zhang, Yi Han, Deyang Liu, et al.
Journal of Modern Power Systems and Clean Energy (2023) Vol. 11, Iss. 4, pp. 1827-1841
Open Access | Times Cited: 18
Energy optimization of wind turbines via a neural control policy based on reinforcement learning Markov chain Monte Carlo algorithm
Vahid Tavakol Aghaei, Arda Ağababaoğlu, Biram Bawo, et al.
Applied Energy (2023) Vol. 341, pp. 121108-121108
Open Access | Times Cited: 16
Knowledge-network-embedded deep reinforcement learning: An innovative way to high-efficiently develop an energy management strategy for the integrated energy system with renewable energy sources and multiple energy storage systems
Bin Jia, Fan Li, Bo Sun
Energy (2024) Vol. 301, pp. 131604-131604
Closed Access | Times Cited: 7
Development pathway and influencing factors of hydrogen energy storage accommodating renewable energy growth
Rongda Zhang, Xiaoli Zhao, Yang Liu, et al.
Journal of Energy Storage (2024) Vol. 87, pp. 111441-111441
Closed Access | Times Cited: 6
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