
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:
Mixed Deep Reinforcement Learning Considering Discrete-continuous Hybrid Action Space for Smart Home Energy Management
Chao Huang, Hongcai Zhang, Long Wang, et al.
Journal of Modern Power Systems and Clean Energy (2022) Vol. 10, Iss. 3, pp. 743-754
Open Access | Times Cited: 47
Chao Huang, Hongcai Zhang, Long Wang, et al.
Journal of Modern Power Systems and Clean Energy (2022) Vol. 10, Iss. 3, pp. 743-754
Open Access | Times Cited: 47
Showing 1-25 of 47 citing articles:
A Metaverse-Based Teaching Building Evacuation Training System With Deep Reinforcement Learning
Jinlei Gu, Jiacun Wang, Xiwang Guo, et al.
IEEE Transactions on Systems Man and Cybernetics Systems (2023) Vol. 53, Iss. 4, pp. 2209-2219
Closed Access | Times Cited: 72
Jinlei Gu, Jiacun Wang, Xiwang Guo, et al.
IEEE Transactions on Systems Man and Cybernetics Systems (2023) Vol. 53, Iss. 4, pp. 2209-2219
Closed Access | Times Cited: 72
Optimal resilient operation and sustainable power management within an autonomous residential microgrid using African vultures optimization algorithm
M.H. Elkholy, Tomonobu Senjyu, Mahmoud M. Elymany, et al.
Renewable Energy (2024) Vol. 224, pp. 120247-120247
Closed Access | Times Cited: 17
M.H. Elkholy, Tomonobu Senjyu, Mahmoud M. Elymany, et al.
Renewable Energy (2024) Vol. 224, pp. 120247-120247
Closed Access | Times Cited: 17
A Comparative Study of Reinforcement Learning Algorithms for Distribution Network Reconfiguration With Deep Q-Learning-Based Action Sampling
Nastaran Gholizadeh, Nazli Kazemi, Petr Musı́lek
IEEE Access (2023) Vol. 11, pp. 13714-13723
Open Access | Times Cited: 22
Nastaran Gholizadeh, Nazli Kazemi, Petr Musı́lek
IEEE Access (2023) Vol. 11, pp. 13714-13723
Open Access | Times Cited: 22
Maximizing microgrid resilience: A two-stage AI-Enhanced system with an integrated backup system using a novel hybrid optimization algorithm
M.H. Elkholy, Mahmoud M. Elymany, Soichiro Ueda, et al.
Journal of Cleaner Production (2024) Vol. 446, pp. 141281-141281
Closed Access | Times Cited: 12
M.H. Elkholy, Mahmoud M. Elymany, Soichiro Ueda, et al.
Journal of Cleaner Production (2024) Vol. 446, pp. 141281-141281
Closed Access | Times Cited: 12
Hierarchical Control of Inverter Air Conditioners for Frequency Regulation Service of Islanded Microgrids With Fair Power Participation
Jinshuo Su, Hongcai Zhang, Chi‐Kong Wong, et al.
IEEE Transactions on Smart Grid (2024) Vol. 15, Iss. 5, pp. 4602-4617
Closed Access | Times Cited: 8
Jinshuo Su, Hongcai Zhang, Chi‐Kong Wong, et al.
IEEE Transactions on Smart Grid (2024) Vol. 15, Iss. 5, pp. 4602-4617
Closed Access | Times Cited: 8
An overview of reinforcement learning-based approaches for smart home energy management systems with energy storages
Watcharakorn Pinthurat, Tossaporn Surinkaew, Branislav Hredzak
Renewable and Sustainable Energy Reviews (2024) Vol. 202, pp. 114648-114648
Closed Access | Times Cited: 7
Watcharakorn Pinthurat, Tossaporn Surinkaew, Branislav Hredzak
Renewable and Sustainable Energy Reviews (2024) Vol. 202, pp. 114648-114648
Closed Access | Times Cited: 7
A New Autonomous Method of Drone Path Planning Based on Multiple Strategies for Avoiding Obstacles with High Speed and High Density
Tongyao Yang, Fengbao Yang, Dingzhu Li
Drones (2024) Vol. 8, Iss. 5, pp. 205-205
Open Access | Times Cited: 5
Tongyao Yang, Fengbao Yang, Dingzhu Li
Drones (2024) Vol. 8, Iss. 5, pp. 205-205
Open Access | Times Cited: 5
Model-data-event based community integrated energy system low-carbon economic scheduling
Xue Lin, Jianxue Wang, Yao Zhang, et al.
Renewable and Sustainable Energy Reviews (2023) Vol. 182, pp. 113379-113379
Closed Access | Times Cited: 15
Xue Lin, Jianxue Wang, Yao Zhang, et al.
Renewable and Sustainable Energy Reviews (2023) Vol. 182, pp. 113379-113379
Closed Access | Times Cited: 15
HP3O algorithm-based all electric ship energy management strategy integrating demand-side adjustment
Tiewei Song, Lijun Fu, Linlin Zhong, et al.
Energy (2024) Vol. 295, pp. 130968-130968
Closed Access | Times Cited: 4
Tiewei Song, Lijun Fu, Linlin Zhong, et al.
Energy (2024) Vol. 295, pp. 130968-130968
Closed Access | Times Cited: 4
Multi-agent deep reinforcement learning for Smart building energy management with chance constraints
Jingchuan Deng, Xinsheng Wang, Fangang Meng
Energy and Buildings (2025) Vol. 331, pp. 115408-115408
Closed Access
Jingchuan Deng, Xinsheng Wang, Fangang Meng
Energy and Buildings (2025) Vol. 331, pp. 115408-115408
Closed Access
Systematic Review on Deep Reinforcement Learning-Based Energy Management for Different Building Types
Ayas Shaqour, Aya Hagishima
Energies (2022) Vol. 15, Iss. 22, pp. 8663-8663
Open Access | Times Cited: 21
Ayas Shaqour, Aya Hagishima
Energies (2022) Vol. 15, Iss. 22, pp. 8663-8663
Open Access | Times Cited: 21
Intelligent Home Energy Management Strategy With Internal Pricing Mechanism Based on Multiagent Artificial Intelligence-of-Things
Tianyun Xu, Tao Chen, Ciwei Gao, et al.
IEEE Systems Journal (2023), pp. 1-12
Closed Access | Times Cited: 10
Tianyun Xu, Tao Chen, Ciwei Gao, et al.
IEEE Systems Journal (2023), pp. 1-12
Closed Access | Times Cited: 10
A Reinforcement-learning-based Bidding Strategy for Power Suppliers with Limited Information
Qiangang Jia, Yiyan Li, Zheng Yan, et al.
Journal of Modern Power Systems and Clean Energy (2022) Vol. 10, Iss. 4, pp. 1032-1039
Open Access | Times Cited: 15
Qiangang Jia, Yiyan Li, Zheng Yan, et al.
Journal of Modern Power Systems and Clean Energy (2022) Vol. 10, Iss. 4, pp. 1032-1039
Open Access | Times Cited: 15
Reinforcement Learning: Theory and Applications in HEMS
Omar Al-Ani, Sanjoy Das
Energies (2022) Vol. 15, Iss. 17, pp. 6392-6392
Open Access | Times Cited: 12
Omar Al-Ani, Sanjoy Das
Energies (2022) Vol. 15, Iss. 17, pp. 6392-6392
Open Access | Times Cited: 12
A Novel Reinforcement-Learning-Based Compensation Strategy for DMPC-Based Day-Ahead Energy Management of Shipboard Power Systems
Jianfeng Fu, Dingshan Sun, Saeed Peyghami, et al.
IEEE Transactions on Smart Grid (2024) Vol. 15, Iss. 5, pp. 4349-4363
Closed Access | Times Cited: 2
Jianfeng Fu, Dingshan Sun, Saeed Peyghami, et al.
IEEE Transactions on Smart Grid (2024) Vol. 15, Iss. 5, pp. 4349-4363
Closed Access | Times Cited: 2
Go-Explore for Residential Energy Management
Junlin Lu, Patrick Mannion, Karl Mason
Communications in computer and information science (2024), pp. 133-139
Closed Access | Times Cited: 1
Junlin Lu, Patrick Mannion, Karl Mason
Communications in computer and information science (2024), pp. 133-139
Closed Access | Times Cited: 1
A novel approach for self-driving car in partially observable environment using life long reinforcement learning
Abdul Quadir, Dibyanshu Jaiswal, Senthilkumar Mohan, et al.
Sustainable Energy Grids and Networks (2024) Vol. 38, pp. 101356-101356
Closed Access | Times Cited: 1
Abdul Quadir, Dibyanshu Jaiswal, Senthilkumar Mohan, et al.
Sustainable Energy Grids and Networks (2024) Vol. 38, pp. 101356-101356
Closed Access | Times Cited: 1
Optimizing Microgrid Energy Management: Intelligent Techniques
Amir Meydani, Hossein Shahinzadeh, Hamed Nafisi, et al.
(2024), pp. 1-18
Closed Access | Times Cited: 1
Amir Meydani, Hossein Shahinzadeh, Hamed Nafisi, et al.
(2024), pp. 1-18
Closed Access | Times Cited: 1
Self-Optimized Agent for Load Balancing and Energy Efficiency: A Reinforcement Learning Framework With Hybrid Action Space
Bishoy Salama Attia, Aamen Elgharably, Mariam Aboelwafa, et al.
IEEE Open Journal of the Communications Society (2024) Vol. 5, pp. 4902-4919
Open Access | Times Cited: 1
Bishoy Salama Attia, Aamen Elgharably, Mariam Aboelwafa, et al.
IEEE Open Journal of the Communications Society (2024) Vol. 5, pp. 4902-4919
Open Access | Times Cited: 1
Interior-point policy optimization based multi-agent deep reinforcement learning method for secure home energy management under various uncertainties
Yiwen Zhang, Rui Lin, Zhen Mei, et al.
Applied Energy (2024) Vol. 376, pp. 124155-124155
Closed Access | Times Cited: 1
Yiwen Zhang, Rui Lin, Zhen Mei, et al.
Applied Energy (2024) Vol. 376, pp. 124155-124155
Closed Access | Times Cited: 1
A Multiobjective Evolutionary Approach for Solving the Multi-Area Dynamic Economic Emission Dispatch Problem Considering Reliability Concerns
Hossein Lotfi
Sustainability (2022) Vol. 15, Iss. 1, pp. 442-442
Open Access | Times Cited: 7
Hossein Lotfi
Sustainability (2022) Vol. 15, Iss. 1, pp. 442-442
Open Access | Times Cited: 7
Reinforcement Learning: Theory and Applications in HEMS
Omar Alani, Sanjoy Das
(2022)
Open Access | Times Cited: 6
Omar Alani, Sanjoy Das
(2022)
Open Access | Times Cited: 6
Smart Scheduling of EVs Through Intelligent Home Energy Management Using Deep Reinforcement Learning
Ahmad Suleman, Muhammad Amin, Mahnoor Fatima, et al.
(2022), pp. 18-24
Closed Access | Times Cited: 6
Ahmad Suleman, Muhammad Amin, Mahnoor Fatima, et al.
(2022), pp. 18-24
Closed Access | Times Cited: 6
Near-optimal Deep Reinforcement Learning Policies from Data for Zone Temperature Control
Loris Di Natale, Bratislav Svetozarevic, Philipp Heer, et al.
2022 IEEE 17th International Conference on Control & Automation (ICCA) (2022) Vol. 23, pp. 698-703
Open Access | Times Cited: 4
Loris Di Natale, Bratislav Svetozarevic, Philipp Heer, et al.
2022 IEEE 17th International Conference on Control & Automation (ICCA) (2022) Vol. 23, pp. 698-703
Open Access | Times Cited: 4
Reinforcement Learning: Theory and Applications in HEMS
Omar Alani, Sanjoy Das
(2022)
Open Access | Times Cited: 4
Omar Alani, Sanjoy Das
(2022)
Open Access | Times Cited: 4