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:
An Optimization Method-Assisted Ensemble Deep Reinforcement Learning Algorithm to Solve Unit Commitment Problems
Jingtao Qin, Yuanqi Gao, Mikhail A. Bragin, et al.
IEEE Access (2023) Vol. 11, pp. 100125-100136
Open Access | Times Cited: 7
Jingtao Qin, Yuanqi Gao, Mikhail A. Bragin, et al.
IEEE Access (2023) Vol. 11, pp. 100125-100136
Open Access | Times Cited: 7
Showing 7 citing articles:
Ensemble reinforcement learning: A survey
Yanjie Song, Ponnuthurai Nagaratnam Suganthan, Witold Pedrycz, et al.
Applied Soft Computing (2023) Vol. 149, pp. 110975-110975
Open Access | Times Cited: 25
Yanjie Song, Ponnuthurai Nagaratnam Suganthan, Witold Pedrycz, et al.
Applied Soft Computing (2023) Vol. 149, pp. 110975-110975
Open Access | Times Cited: 25
Optimizing deep decarbonization pathways in California with power system planning using surrogate level-based Lagrangian relaxation
Osten Anderson, Mikhail A. Bragin, Nanpeng Yu
Applied Energy (2024) Vol. 377, pp. 124348-124348
Open Access | Times Cited: 4
Osten Anderson, Mikhail A. Bragin, Nanpeng Yu
Applied Energy (2024) Vol. 377, pp. 124348-124348
Open Access | Times Cited: 4
Large-scale dynamic surgical scheduling under uncertainty by hierarchical reinforcement learning
Lixiang Zhao, Zhu Han, Min Zhang, et al.
International Journal of Production Research (2024), pp. 1-32
Closed Access | Times Cited: 1
Lixiang Zhao, Zhu Han, Min Zhang, et al.
International Journal of Production Research (2024), pp. 1-32
Closed Access | Times Cited: 1
Deep Reinforcement Learning-Assisted Convex Programming for AC Unit Commitment and Its Variants
Ahmed Rabee Sayed, Xian Zhang, Guibin Wang, et al.
IEEE Transactions on Power Systems (2023) Vol. 39, Iss. 4, pp. 5561-5574
Closed Access | Times Cited: 4
Ahmed Rabee Sayed, Xian Zhang, Guibin Wang, et al.
IEEE Transactions on Power Systems (2023) Vol. 39, Iss. 4, pp. 5561-5574
Closed Access | Times Cited: 4
Data-Augmentation Acceleration Framework by Graph Neural Network for Near-Optimal Unit Commitment
Lishen Wei, Xiaomeng Ai, Jiakun Fang, et al.
(2024)
Closed Access
Lishen Wei, Xiaomeng Ai, Jiakun Fang, et al.
(2024)
Closed Access
A Graph Reinforcement Learning Algorithm for Unit Commitment
Liqian Gao, Lishen Wei, Sheng Li, et al.
2021 IEEE 5th Conference on Energy Internet and Energy System Integration (EI2) (2023), pp. 240-245
Closed Access
Liqian Gao, Lishen Wei, Sheng Li, et al.
2021 IEEE 5th Conference on Energy Internet and Energy System Integration (EI2) (2023), pp. 240-245
Closed Access
The Use of Artificial Intelligence for the Unit Commitment Problem: State of the Art
José Javier Pérez Milla, Juan I. Pérez‐Díaz
Lecture notes in electrical engineering (2012), pp. 713-725
Closed Access
José Javier Pérez Milla, Juan I. Pérez‐Díaz
Lecture notes in electrical engineering (2012), pp. 713-725
Closed Access
