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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:

Hybrid VMD-CNN-GRU-based model for short-term forecasting of wind power considering spatio-temporal features
Zeni Zhao, Sining Yun, Lingyun Jia, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 121, pp. 105982-105982
Closed Access | Times Cited: 144

Showing 1-25 of 144 citing articles:

Prediction of heating and cooling loads based on light gradient boosting machine algorithms
Jiaxin Guo, Sining Yun, Yao Meng, et al.
Building and Environment (2023) Vol. 236, pp. 110252-110252
Closed Access | Times Cited: 56
A short-term wind power forecasting method based on multivariate signal decomposition and variable selection
Ting Yang, Zhenning Yang, Fei Li, et al.
Applied Energy (2024) Vol. 360, pp. 122759-122759
Closed Access | Times Cited: 25
Hybrid WT–CNN–GRU-based model for the estimation of reservoir water quality variables considering spatio-temporal features
Mohammad Zamani, Mohammad Reza Nikoo, Ghazi Al-Rawas, et al.
Journal of Environmental Management (2024) Vol. 358, pp. 120756-120756
Closed Access | Times Cited: 21
A multi-step wind power group forecasting seq2seq architecture with spatial–temporal feature fusion and numerical weather prediction correction
Shiwei Xu, Yongjun Wang, Xinglei Xu, et al.
Energy (2024) Vol. 291, pp. 130352-130352
Closed Access | Times Cited: 14
Automated gradation design of natural waste gravel soil stabilized by composite soil stabilizer based on a novel DNNSS-APDM-PFC model
Yulong Zhao, Ke Zhang, Dong Fei, et al.
Waste Management (2025) Vol. 194, pp. 64-76
Closed Access | Times Cited: 1
Hybrid Inception-embedded deep neural network ResNet for short and medium-term PV-Wind forecasting
Adeel Feroz Mirza, Majad Mansoor, Muhammad Usman, et al.
Energy Conversion and Management (2023) Vol. 294, pp. 117574-117574
Closed Access | Times Cited: 33
An ensemble model for monthly runoff prediction using least squares support vector machine based on variational modal decomposition with dung beetle optimization algorithm and error correction strategy
Dongmei Xu, Zong Li, Wenchuan Wang
Journal of Hydrology (2023) Vol. 629, pp. 130558-130558
Closed Access | Times Cited: 32
A hybrid short-term wind power point-interval prediction model based on combination of improved preprocessing methods and entropy weighted GRU quantile regression network
Tianhong Liu, Shengli Qi, Xianzhu Qiao, et al.
Energy (2023) Vol. 288, pp. 129904-129904
Closed Access | Times Cited: 24
A Review of Modern Wind Power Generation Forecasting Technologies
Wen-Chang Tsai, Chih-Ming Hong, Chia‐Sheng Tu, et al.
Sustainability (2023) Vol. 15, Iss. 14, pp. 10757-10757
Open Access | Times Cited: 23
A hybrid model with combined feature selection based on optimized VMD and improved multi-objective coati optimization algorithm for short-term wind power prediction
Chao Wang, Lin Hon, Heng Hu, et al.
Energy (2024) Vol. 293, pp. 130684-130684
Closed Access | Times Cited: 13
A short-term wind power prediction approach based on an improved dung beetle optimizer algorithm, variational modal decomposition, and deep learning
Yan He, Wei Wang, Meng Li, et al.
Computers & Electrical Engineering (2024) Vol. 116, pp. 109182-109182
Closed Access | Times Cited: 11
LSTM Short-Term Wind Power Prediction Method Based on Data Preprocessing and Variational Modal Decomposition for Soft Sensors
Peng Lei, Fanglan Ma, Changsheng Zhu, et al.
Sensors (2024) Vol. 24, Iss. 8, pp. 2521-2521
Open Access | Times Cited: 9
A hybrid methodology using VMD and disentangled features for wind speed forecasting
Srihari Parri, Kiran Teeparthi, Vishalteja Kosana
Energy (2023) Vol. 288, pp. 129824-129824
Closed Access | Times Cited: 20
Ultra-short-term wind power prediction method based on FTI-VACA-XGB model
Shijie Guan, Yongsheng Wang, Limin Liu, et al.
Expert Systems with Applications (2023) Vol. 235, pp. 121185-121185
Open Access | Times Cited: 18
Flood Forecasting Using Hybrid LSTM and GRU Models with Lag Time Preprocessing
Yue Zhang, Zimo Zhou, Jesse Thé, et al.
Water (2023) Vol. 15, Iss. 22, pp. 3982-3982
Open Access | Times Cited: 18
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: 17
Research on the short-term wind power prediction with dual branch multi-source fusion strategy
Ling Tan, Yihe Chen, Jingming Xia, et al.
Energy (2024) Vol. 291, pp. 130402-130402
Closed Access | Times Cited: 6
A parallel differential learning ensemble framework based on enhanced feature extraction and anti-information leakage mechanism for ultra-short-term wind speed forecast
Jujie Wang, Yafen Liu, Yaning Li
Applied Energy (2024) Vol. 361, pp. 122909-122909
Closed Access | Times Cited: 6
A fault diagnosis method with AT-ICNN based on a hybrid attention mechanism and improved convolutional layers
Xueyi Li, Shuquan Xiao, Feibin Zhang, et al.
Applied Acoustics (2024) Vol. 225, pp. 110191-110191
Closed Access | Times Cited: 6
SVMD-TF-QS: An efficient and novel hybrid methodology for the wind speed prediction
Srihari Parri, Kiran Teeparthi
Expert Systems with Applications (2024) Vol. 249, pp. 123516-123516
Closed Access | Times Cited: 5
Deep Learning CNN-GRU Method for GNSS Deformation Monitoring Prediction
Yilin Xie, Jun Wang, Haiyang Li, et al.
Applied Sciences (2024) Vol. 14, Iss. 10, pp. 4004-4004
Open Access | Times Cited: 5
Short-term wind power prediction based on improved variational modal decomposition, least absolute shrinkage and selection operator, and BiGRU networks
Miaosen Hu, Guoqiang Zheng, Zhonge Su, et al.
Energy (2024) Vol. 303, pp. 131951-131951
Closed Access | Times Cited: 5
Short-term wind power forecasting based on multi-scale receptive field-mixer and conditional mixture copula
Jinchang Li, Jiapeng Chen, Z. Q. Chen, et al.
Applied Soft Computing (2024) Vol. 164, pp. 112007-112007
Closed Access | Times Cited: 5
Energy fluctuation pattern recognition coupled with decomposition-integration: A novel ocean tidal energy forecasting system
Qingsong Wu, Hong Yang, Guohui Li
Measurement (2024) Vol. 238, pp. 115374-115374
Closed Access | Times Cited: 5
A novel ultra-short-term wind power forecasting method based on TCN and Informer models
Qi Li, Xiaoying Ren, Fei Zhang, et al.
Computers & Electrical Engineering (2024) Vol. 120, pp. 109632-109632
Closed Access | Times Cited: 5
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