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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:

Decomposition-based wind speed forecasting model using causal convolutional network and attention mechanism
Zhihao Shang, Yao Chen, Yanhua Chen, et al.
Expert Systems with Applications (2023) Vol. 223, pp. 119878-119878
Closed Access | Times Cited: 43

Showing 1-25 of 43 citing articles:

A wind speed forcasting model based on rime optimization based VMD and multi-headed self-attention-LSTM
Wenhui Liu, Yulong Bai, xiaoxin Yue, et al.
Energy (2024) Vol. 294, pp. 130726-130726
Closed Access | Times Cited: 35
A novel ensemble system for short-term wind speed forecasting based on hybrid decomposition approach and artificial intelligence models optimized by self-attention mechanism
Junheng Pang, Sheng Dong
Energy Conversion and Management (2024) Vol. 307, pp. 118343-118343
Closed Access | Times Cited: 22
Enhancing short-term wind speed prediction based on an outlier-robust ensemble deep random vector functional link network with AOA-optimized VMD
Chu Zhang, Zhengbo Li, Yida Ge, et al.
Energy (2024) Vol. 296, pp. 131173-131173
Closed Access | Times Cited: 20
An innovative interpretable combined learning model for wind speed forecasting
Pei Du, Dongchuan Yang, Yanzhao Li, et al.
Applied Energy (2024) Vol. 358, pp. 122553-122553
Closed Access | Times Cited: 19
Interpretable wind speed forecasting with meteorological feature exploring and two-stage decomposition
Binrong Wu, Sihao Yu, Lu Peng, et al.
Energy (2024) Vol. 294, pp. 130782-130782
Closed Access | Times Cited: 17
Improving short-term offshore wind speed forecast accuracy using a VMD-PE-FCGRU hybrid model
Zhipeng Gong, Anping Wan, Yunsong Ji, et al.
Energy (2024) Vol. 295, pp. 131016-131016
Closed Access | Times Cited: 16
A hybrid wind speed forecasting model with two-stage data processing based on adaptive neuro-fuzzy inference systems and deep learning algorithms
Zhongda Tian, D. H. Wei
Earth Science Informatics (2025) Vol. 18, Iss. 1
Closed Access | Times Cited: 2
Fault diagnosis of RV reducer based on denoising time–frequency attention neural network
Jianglong Li, Chengsong Zhang, Baoliang Wei, et al.
Expert Systems with Applications (2023) Vol. 238, pp. 121762-121762
Closed Access | Times Cited: 23
Prediction for Coastal Wind Speed Based on Improved Variational Mode Decomposition and Recurrent Neural Network
Muyuan Du, Zhimeng Zhang, Chunning Ji
Energies (2025) Vol. 18, Iss. 3, pp. 542-542
Open Access | Times Cited: 1
Robust multi-step wind speed forecasting based on a graph-based data reconstruction deep learning method
Ke Wang, Xiaoyu Tang, Shumian Zhao
Expert Systems with Applications (2023) Vol. 238, pp. 121886-121886
Closed Access | Times Cited: 18
A reconstruction-based secondary decomposition-ensemble framework for wind power forecasting
Runkun Cheng, Di Yang, Da Liu, et al.
Energy (2024) Vol. 308, pp. 132895-132895
Closed Access | Times Cited: 7
A privacy-preserving framework integrating federated learning and transfer learning for wind power forecasting
Yugui Tang, Shujing Zhang, Zhen Zhang
Energy (2023) Vol. 286, pp. 129639-129639
Closed Access | Times Cited: 14
A Combined Forecasting Model Based on a Modified Pelican Optimization Algorithm for Ultra-Short-Term Wind Speed
Lei Guo, Chang Xu, Xin Ai, et al.
Sustainability (2025) Vol. 17, Iss. 5, pp. 2081-2081
Open Access
Short-term offshore wind power multi-location multi-modal multi-step prediction model based on Informer(M3STIN)
Zhongrui Wang, Chunbo Wang, Liang Chen, et al.
Energy (2025), pp. 135616-135616
Closed Access
Short-term wind speed prediction with adaptive signal processing based hybrid statistical models
Shruti Shukla, Sumanta Pasari
Energy Systems (2025)
Closed Access
Grouped convolution dual-attention network for time series forecasting of water temperature in offshore aquaculture net pen
Xiaoyi Sun, Wenqiang Liu, Mengqi Wang, et al.
Expert Systems with Applications (2025), pp. 127438-127438
Closed Access
AVI-Net: Audio-visual-integration inspired deep network with application to short-term air temperature forecasting
Han Wu, Liang Yan, Xiao‐Zhi Gao, et al.
Expert Systems with Applications (2025), pp. 127604-127604
Closed Access
A Modularity-Enhanced Echo State Network for Nonlinear Wind Energy Predicting
Shengqin Yue, Zhili Zhao, Taavi Lai, et al.
Energies (2025) Vol. 18, Iss. 7, pp. 1858-1858
Open Access
A novel hybrid forecasting model with feature selection and deep learning for wind speed research
Xuejun Chen, Ying Wang, Hai‐Tao Zhang, et al.
Journal of Forecasting (2024) Vol. 43, Iss. 5, pp. 1682-1705
Closed Access | Times Cited: 3
Design and optimal scheduling of forecasting-based campus multi-energy complementary energy system
Weichao Dong, Hexu Sun, Zheng Li, et al.
Energy (2024) Vol. 309, pp. 133088-133088
Closed Access | Times Cited: 3
Informer learning framework based on secondary decomposition for multi-step forecast of ultra-short term wind speed
Zihao Jin, Xiaomengting Fu, Ling Xiang, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 139, pp. 109702-109702
Closed Access | Times Cited: 3
A hybrid model based on CapSA-VMD-ResNet-GRU-attention mechanism for ultra-short-term and short-term wind speed prediction
Donghan Geng, Yongkang Zhang, Yunlong Zhang, et al.
Renewable Energy (2024), pp. 122191-122191
Closed Access | Times Cited: 3
A novel ultra-short-term wind power prediction model jointly driven by multiple algorithm optimization and adaptive selection
Qingcheng Lin, Huiling Cai, Hanwei Liu, et al.
Energy (2023) Vol. 288, pp. 129724-129724
Closed Access | Times Cited: 7
Multi-Step-Ahead Wind Speed Forecast System: Hybrid Multivariate Decomposition and Feature Selection-Based Gated Additive Tree Ensemble Model
Lionel Joseph, Ravinesh C. Deo, David Casillas-Pérez, et al.
IEEE Access (2024) Vol. 12, pp. 58750-58777
Open Access | Times Cited: 2
A novel interpretability machine learning model for wind speed forecasting based on feature and sub-model selection
Zhihao Shang, Yanhua Chen, Daokai Lai, et al.
Expert Systems with Applications (2024) Vol. 255, pp. 124560-124560
Closed Access | Times Cited: 2
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