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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:

Fuzzy Q-Learning for multi-agent decentralized energy management in microgrids
Panagiotis Kofinas, Anastasios I. Dounis, George A. Vouros
Applied Energy (2018) Vol. 219, pp. 53-67
Closed Access | Times Cited: 216

Showing 1-25 of 216 citing articles:

Reinforcement learning for demand response: A review of algorithms and modeling techniques
José R. Vázquez-Canteli, Zoltán Nagy
Applied Energy (2018) Vol. 235, pp. 1072-1089
Closed Access | Times Cited: 602
Microgrids: Overview and guidelines for practical implementations and operation
Alessia Cagnano, E. De Tuglie, Pierluigi Mancarella
Applied Energy (2019) Vol. 258, pp. 114039-114039
Closed Access | Times Cited: 262
Applications of reinforcement learning in energy systems
A.T.D. Perera, Parameswaran Kamalaruban
Renewable and Sustainable Energy Reviews (2020) Vol. 137, pp. 110618-110618
Open Access | Times Cited: 257
Methods and applications for Artificial Intelligence, Big Data, Internet of Things, and Blockchain in smart energy management
Joey H. Li, Münür Sacit Herdem, Jatin Nathwani, et al.
Energy and AI (2022) Vol. 11, pp. 100208-100208
Open Access | Times Cited: 232
Distributed Control and Communication Strategies in Networked Microgrids
Quan Zhou, Mohammad Shahidehpour, Aleksi Paaso, et al.
IEEE Communications Surveys & Tutorials (2020) Vol. 22, Iss. 4, pp. 2586-2633
Closed Access | Times Cited: 221
Reinforcement learning in sustainable energy and electric systems: a survey
Ting Yang, Liyuan Zhao, Wei Li, et al.
Annual Reviews in Control (2020) Vol. 49, pp. 145-163
Closed Access | Times Cited: 189
A survey on multi-agent deep reinforcement learning: from the perspective of challenges and applications
Wei Du, Shifei Ding
Artificial Intelligence Review (2020) Vol. 54, Iss. 5, pp. 3215-3238
Closed Access | Times Cited: 178
Deep reinforcement learning for power system: An overview
Zidong Zhang, Dongxia Zhang, Robert C. Qiu
CSEE Journal of Power and Energy Systems (2019)
Open Access | Times Cited: 173
Deep reinforcement learning for energy management in a microgrid with flexible demand
Taha Abdelhalim Nakabi, Pekka Toivanen
Sustainable Energy Grids and Networks (2020) Vol. 25, pp. 100413-100413
Open Access | Times Cited: 169
Multi-Robot Path Planning Method Using Reinforcement Learning
Hyansu Bae, Gidong Kim, Jonguk Kim, et al.
Applied Sciences (2019) Vol. 9, Iss. 15, pp. 3057-3057
Open Access | Times Cited: 158
A review of hierarchical control for building microgrids
Daniela Yassuda Yamashita, Ionel Vechiu, Jean‐Paul Gaubert
Renewable and Sustainable Energy Reviews (2019) Vol. 118, pp. 109523-109523
Open Access | Times Cited: 150
Machine Learning and Data-Driven Techniques for the Control of Smart Power Generation Systems: An Uncertainty Handling Perspective
Li Sun, Fengqi You
Engineering (2021) Vol. 7, Iss. 9, pp. 1239-1247
Open Access | Times Cited: 138
Scalable coordinated management of peer-to-peer energy trading: A multi-cluster deep reinforcement learning approach
Dawei Qiu, Yujian Ye, Dimitrios Papadaskalopoulos, et al.
Applied Energy (2021) Vol. 292, pp. 116940-116940
Closed Access | Times Cited: 114
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 for resilience-driven routing and scheduling of mobile energy storage systems
Yi Wang, Dawei Qiu, Goran Štrbac
Applied Energy (2022) Vol. 310, pp. 118575-118575
Closed Access | Times Cited: 69
A multi-objective optimization solution for distributed generation energy management in microgrids with hybrid energy sources and battery storage system
R. Praveen Kumar, G. Karthikeyan
Journal of Energy Storage (2023) Vol. 75, pp. 109702-109702
Closed Access | Times Cited: 60
HESS-based microgrid control techniques empowered by artificial intelligence: A systematic review of grid-connected and standalone systems
R. Shyni, M. Kowsalya
Journal of Energy Storage (2024) Vol. 84, pp. 111012-111012
Closed Access | Times Cited: 22
Addressing the Challenge of Climate Change: The Role of Microgrids in Fostering a Sustainable Future - A Comprehensive Review
Izhar Us Salam, Muhammad Yousif, Muhammad Numan, et al.
Renewable energy focus (2024) Vol. 48, pp. 100538-100538
Closed Access | Times Cited: 20
Advancements in hybrid energy storage systems for enhancing renewable energy-to-grid integration
Adekanmi Miracle Adeyinka, Oladapo Christopher Esan, Ahmed Olanrewaju Ijaola, et al.
Sustainable Energy Research (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 19
Machine learning toward advanced energy storage devices and systems
Tianhan Gao, Wei Lu
iScience (2020) Vol. 24, Iss. 1, pp. 101936-101936
Open Access | Times Cited: 128
Decentralized multi-agent based energy management of microgrid using reinforcement learning
Esmat Samadi, Ali Badri, Reza Ebrahimpour
International Journal of Electrical Power & Energy Systems (2020) Vol. 122, pp. 106211-106211
Closed Access | Times Cited: 115
Review of Control and Energy Management Approaches in Micro-Grid Systems
Abdellatif Elmouatamid, Radouane Ouladsine, Mohamed Bakhouya, et al.
Energies (2020) Vol. 14, Iss. 1, pp. 168-168
Open Access | Times Cited: 114
Transactive energy management for optimal scheduling of interconnected microgrids with hydrogen energy storage
Mohammadreza Daneshvar, Behnam Mohammadi‐Ivatloo, Kazem Zare, et al.
International Journal of Hydrogen Energy (2020) Vol. 46, Iss. 30, pp. 16267-16278
Closed Access | Times Cited: 100
Review of Energy Storage and Energy Management System Control Strategies in Microgrids
Gaurav Chaudhary, Jacob J. Lamb, Odne Stokke Burheim, et al.
Energies (2021) Vol. 14, Iss. 16, pp. 4929-4929
Open Access | Times Cited: 89
The impact of electric vehicle penetration and charging patterns on the management of energy hub – A multi-agent system simulation
Haiyang Lin, Yiling Liu, Qie Sun, et al.
Applied Energy (2018) Vol. 230, pp. 189-206
Closed Access | Times Cited: 85
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