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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:

A Spatiotemporal Directed Graph Convolution Network for Ultra-Short-Term Wind Power Prediction
Zhuo Li, Lin Ye, Yongning Zhao, et al.
IEEE Transactions on Sustainable Energy (2022) Vol. 14, Iss. 1, pp. 39-54
Closed Access | Times Cited: 41

Showing 1-25 of 41 citing articles:

Spatio-Temporal Graph Neural Networks for Predictive Learning in Urban Computing: A Survey
Guangyin Jin, Yuxuan Liang, Yuchen Fang, et al.
IEEE Transactions on Knowledge and Data Engineering (2023) Vol. 36, Iss. 10, pp. 5388-5408
Open Access | Times Cited: 134
A novel frequency-domain physics-informed neural network for accurate prediction of 3D Spatio-temporal wind fields in wind turbine applications
Shaopeng Li, Xin Li, Yan Jiang, et al.
Applied Energy (2025) Vol. 386, pp. 125526-125526
Closed Access | Times Cited: 5
Ultra-short-term wind power forecasting jointly driven by anomaly detection, clustering and graph convolutional recurrent neural networks
Jianzhou Wang, Menggang Kou, Runze Li, et al.
Advanced Engineering Informatics (2025) Vol. 65, pp. 103137-103137
Closed Access | Times Cited: 2
Ultra-short-term wind farm cluster power prediction based on FC-GCN and trend-aware switching mechanism
Mao Yang, Y. Huang, Yunfeng Guo, et al.
Energy (2024) Vol. 290, pp. 130238-130238
Closed Access | Times Cited: 15
GGNet: A novel graph structure for power forecasting in renewable power plants considering temporal lead-lag correlations
Nanyang Zhu, Ying Wang, Kun Yuan, et al.
Applied Energy (2024) Vol. 364, pp. 123194-123194
Closed Access | Times Cited: 13
Short-Term Power Forecasting of Wind Farm Cluster Based on Global Information Adaptive Perceptual Graph Convolution Network
Mao Yang, Chaoyi Ju, Y. Huang, et al.
IEEE Transactions on Sustainable Energy (2024) Vol. 15, Iss. 3, pp. 2063-2076
Closed Access | Times Cited: 12
A comprehensive review on the development of data-driven methods for wind power prediction and AGC performance evaluation in wind–thermal bundled power systems
Shuai Wang, Bin Li, Guanzheng Li, et al.
Energy and AI (2024) Vol. 16, pp. 100336-100336
Open Access | Times Cited: 10
Mixformer: Mixture transformer with hierarchical context for spatio-temporal wind speed forecasting
Tangjie Wu, Qiang Ling
Energy Conversion and Management (2023) Vol. 299, pp. 117896-117896
Closed Access | Times Cited: 20
Ultra-short-term wind power forecasting based on personalized robust federated learning with spatial collaboration
Yongning Zhao, Shiji Pan, Yuan Zhao, et al.
Energy (2023) Vol. 288, pp. 129847-129847
Closed Access | Times Cited: 19
Ensemble optimization approach based on hybrid mode decomposition and intelligent technology for wind power prediction system
Yagang Zhang, Hui Wang, Jingchao Wang, et al.
Energy (2024) Vol. 292, pp. 130492-130492
Closed Access | Times Cited: 7
BERT4ST:: Fine-tuning pre-trained large language model for wind power forecasting
Zefeng Lai, Tangjie Wu, Xihong Fei, et al.
Energy Conversion and Management (2024) Vol. 307, pp. 118331-118331
Closed Access | Times Cited: 7
Interpretable multi-graph convolution network integrating spatial-temporal attention and dynamic combination for wind power forecasting
Yongning Zhao, Haohan Liao, Shiji Pan, et al.
Expert Systems with Applications (2024) Vol. 255, pp. 124766-124766
Closed Access | Times Cited: 7
Advances in model predictive control for large-scale wind power integration in power systems
Lu Peng, Ning Zhang, Lin Ye, et al.
Advances in Applied Energy (2024) Vol. 14, pp. 100177-100177
Open Access | Times Cited: 6
Spatio-Temporal Graph Neural Network and Pattern Prediction Based Ultra-Short-Term Power Forecasting of Wind Farm Cluster
Xiaoyan Liu, Yiran Zhang, Zhao Zhen, et al.
IEEE Transactions on Industry Applications (2023) Vol. 60, Iss. 1, pp. 1794-1803
Closed Access | Times Cited: 14
A multi-area intra-day dispatch strategy for power systems under high share of renewable energy with power support capacity assessment
Lin Ye, Yifei Jin, Kaifeng Wang, et al.
Applied Energy (2023) Vol. 351, pp. 121866-121866
Closed Access | Times Cited: 12
Interpretable wind power forecasting combing seasonal-trend representations learning with temporal fusion transformers architecture
Zhewen Niu, Xiaoqing Han, Dongxia Zhang, et al.
Energy (2024) Vol. 306, pp. 132482-132482
Closed Access | Times Cited: 4
Urban Form and Seasonal PM2.5 Dynamics: Enhancing Air Quality Prediction using Interpretable Machine Learning and IoT Sensor Data
Jeongwoo Lee, Caryl Anne M. Barquilla, Kitae Park, et al.
Sustainable Cities and Society (2024) Vol. 117, pp. 105976-105976
Closed Access | Times Cited: 4
A Two-Stage Inference Method Based on Graph Neural Network for Wind Farm SCADA Data
Zhanhong Ye, Fan Wu, Cong Zhang, et al.
(2025), pp. 100-111
Closed Access
Learning from leading indicators to predict long-term dynamics of hourly electricity generation from multiple resources
Zhenghong Wang, Yi Wang, Furong Jia, et al.
Neural Networks (2025) Vol. 186, pp. 107268-107268
Closed Access
Feature Dimensionality Reduction Based on Deep Lasso for Wind Power Forecasting
Haohan Liao, Kunming Fu, Shiji Pan, et al.
IET Cyber-Physical Systems Theory & Applications (2025) Vol. 10, Iss. 1
Open Access
Short-term wind speed prediction method based on prior wind direction knowledge and multi-period decoupling
Zewen Shang, Xuewei Li, Zhiqiang Liu, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 153, pp. 110596-110596
Closed Access
A Method for Ultra-Short-Term Wind Power Forecasting of Large-Scale Wind Farms Based on Adaptive Spatiotemporal Graph Convolution
Wang Li, Jinhan Gao, Yunchao Li, et al.
Renewable Energy (2025), pp. 123321-123321
Closed Access
Ultra-Short–Term Forecasting of Multi-Site PV Power Based on Graph Convolution Network
Lingling Xie, Jianguo Yang, Bin Liu
Journal of Electrical Engineering and Technology (2025)
Closed Access
Spatial-Temporal Wind Power Probabilistic Forecasting Based on Time-Aware Graph Convolutional Network
Jingwei Tang, Zhi Liu, Jianming Hu
IEEE Transactions on Sustainable Energy (2024) Vol. 15, Iss. 3, pp. 1946-1956
Closed Access | Times Cited: 3
Self-supervised dynamic stochastic graph network for spatio-temporal wind speed forecasting
Tangjie Wu, Qiang Ling
Energy (2024) Vol. 304, pp. 132056-132056
Closed Access | Times Cited: 3
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