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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:

Adaptive Assessment of Power System Transient Stability Based on Active Transfer Learning With Deep Belief Network
Baoqin Li, Junyong Wu
IEEE Transactions on Automation Science and Engineering (2022) Vol. 20, Iss. 2, pp. 1047-1058
Closed Access | Times Cited: 25

Showing 25 citing articles:

Implementation Feasibility of Experience Aided Quantum Learning in 7g Networks: A Survey
Savo Glisic, Beatriz Lorenzo
(2025)
Closed Access
Encoding Time Series as Images: A Robust and Transferable Framework for Power System DIM Identification Combining Rules and VGGNet
Runfeng Zhang, Wei Yao, Zhongtuo Shi, et al.
IEEE Transactions on Power Systems (2023) Vol. 38, Iss. 6, pp. 5781-5793
Closed Access | Times Cited: 10
Combustion state identification of MSWI processes using ViT-IDFC
Xiaotong Pan, Jian Tang, Heng Xia, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 126, pp. 106893-106893
Closed Access | Times Cited: 7
A Novel Data-Driven LSTM-SAF Model for Power Systems Transient Stability Assessment
Z.Y. Shao, Qichao Wang, Yuzhe Cao, et al.
IEEE Transactions on Industrial Informatics (2024) Vol. 20, Iss. 7, pp. 9083-9097
Closed Access | Times Cited: 2
Instability Pattern-guided Model Updating Method for Data-driven Transient Stability Assessment
Huaiyuan Wang, Fajun Gao, Qifan Chen, et al.
IEEE Transactions on Power Systems (2024) Vol. 40, Iss. 2, pp. 1214-1227
Closed Access | Times Cited: 2
Transfer Learning for Transient Stability Predictions in Modern Power Systems Under Enduring Topological Changes
Maeshal Hijazi, Payman Dehghanian, Shiyuan Wang
IEEE Transactions on Automation Science and Engineering (2023) Vol. 21, Iss. 3, pp. 3274-3288
Closed Access | Times Cited: 6
Deep Neural Networks in Power Systems: A Review
Mahdi Khodayar, Jacob Regan
Energies (2023) Vol. 16, Iss. 12, pp. 4773-4773
Open Access | Times Cited: 4
Event Detection-Free Framework for Transient Stability Prediction via Parallel CNN-LSTMs
Gyul Lee, Cheonkyu Park, Do-In Kim
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-10
Closed Access | Times Cited: 1
Mobileception-ResNet for transient stability prediction of novel power systems
Linfei Yin, Wei Gao Ge
Energy (2024), pp. 133163-133163
Closed Access | Times Cited: 1
Training a Dynamic Neural Network to Detect False Data Injection Attacks Under Multiple Unforeseen Operating Conditions
Dongping Hu, Shengyang Wu, Jingyu Wang, et al.
IEEE Transactions on Smart Grid (2023) Vol. 15, Iss. 3, pp. 3248-3261
Closed Access | Times Cited: 3
A Digital Twin Framework for Transient Stability Assessment Based on Knowledge Distillation
Junjie Cui, Wenping Qin, Zhilong Zhu, et al.
2022 7th Asia Conference on Power and Electrical Engineering (ACPEE) (2024), pp. 2535-2539
Closed Access
Transient stability predictions in modern power systems using transfer learning
Maeshal Hijazi, Payman Dehghanian, Shiyuan Wang
Elsevier eBooks (2024), pp. 235-268
Closed Access
A novel ensemble method based on residual convolutional neural network with attention module for transient stability assessment considering operational variability
Wensheng Liu, Song Han, Na Rong
Engineering Applications of Artificial Intelligence (2024) Vol. 139, pp. 109519-109519
Closed Access
Digital Twin-Integrated Data-Driven Approach for Security Assessment in Modern Power Systems
Ghazal Rahmani-Sane, Sasan Azad, Ali Mosallanejad, et al.
Power systems (2024), pp. 289-304
Closed Access
Fast Transient Stability Assessment of Power Systems Using Optimized Temporal Convolutional Networks
Mohamed Massaoudi, Tassneem Zamzam, Maymouna Ez Eddin, et al.
IEEE Open Journal of Industry Applications (2024) Vol. 5, pp. 267-282
Open Access
Research on security mechanism of power systems based on the security assessment model
Songming Han, Ming Xie, 信男 毛利, et al.
(2024), pp. 732-736
Closed Access
A Fast Real-Time Transient Stability Estimation for Enhanced Situational Awareness
Divya Rishi Shrivastava, Shahbaz Ahmed Siddiqui, Hasmat Malik, et al.
Advances in intelligent systems and computing (2024), pp. 291-301
Closed Access
Data-Driven Unified Scheme to Enhance the Stability of Solar Energy Integrated Power System in Real-Time
Divya Rishi Shrivastava, Shahbaz Ahmed Siddiqui, Kusum Verma, et al.
IEEE Access (2023) Vol. 11, pp. 118443-118461
Open Access | Times Cited: 1
A Deep Generative Active Learning-based Scheme for the Efficient Development of Transient Stability Predictor
Kangwen Li, Junyong Liu, Tingjian Liu, et al.
(2023), pp. 288-293
Closed Access
Refined Deep Transfer Learning with CNN-LSTM and SDAE for Adaptive Assessment of Power System Transient Stability with Time Series Data
Seyha Song, Jun Yang, Ghamgeen Izat Rashed, et al.
Authorea (Authorea) (2023)
Open Access
2023 Index IEEE Transactions on Automation Science and Engineering Vol. 20

IEEE Transactions on Automation Science and Engineering (2023) Vol. 20, Iss. 4, pp. 2885-2934
Open Access
Typical Power Grid Operation Mode Generation Based on Reinforcement Learning and Deep Belief Network
Zirui Wang, Bowen Zhou, Chen Lv, et al.
Sustainability (2023) Vol. 15, Iss. 20, pp. 14844-14844
Open Access
A Method Dealing with the Class Imbalance Problem in Transient Stability Assessment: Combining ADCHSMOTE-TL and Lifting Dimension Linear Regression
Tao Liu, Jinfu Chen, Defu Cai, et al.
(2023) Vol. 83, pp. 1-7
Closed Access
The Text Classification Active Learning Using Transfer Learning Methods
Ashu Katyal
(2023), pp. 1-6
Closed Access
A Review on Dynamic Security Assessment of Power System Based on Machine Learning
Hang Qi, Ruiyang Su, Changgang Li, et al.
(2023), pp. 173-178
Closed Access
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