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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:

Wind speed forecasting based on variational mode decomposition and improved echo state network
Huanling Hu, Lin Wang, Rui Tao
Renewable Energy (2020) Vol. 164, pp. 729-751
Closed Access | Times Cited: 165

Showing 1-25 of 165 citing articles:

Application of hybrid model based on empirical mode decomposition, novel recurrent neural networks and the ARIMA to wind speed prediction
Ming-De Liu, Lin Ding, Yulong Bai
Energy Conversion and Management (2021) Vol. 233, pp. 113917-113917
Closed Access | Times Cited: 271
2-D regional short-term wind speed forecast based on CNN-LSTM deep learning model
Yaoran Chen, Yan Wang, Zhikun Dong, et al.
Energy Conversion and Management (2021) Vol. 244, pp. 114451-114451
Closed Access | Times Cited: 154
Multi-step-ahead wind speed forecasting based on a hybrid decomposition method and temporal convolutional networks
Dan Li, Fuxin Jiang, Min Chen, et al.
Energy (2021) Vol. 238, pp. 121981-121981
Closed Access | Times Cited: 140
Review of meta-heuristic algorithms for wind power prediction: Methodologies, applications and challenges
Peng Lu, Lin Ye, Yongning Zhao, et al.
Applied Energy (2021) Vol. 301, pp. 117446-117446
Closed Access | Times Cited: 134
Multi-step short-term wind speed forecasting based on multi-stage decomposition coupled with stacking-ensemble learning approach
Ramon Gomes da Silva, Sinvaldo Rodrigues Moreno, Matheus Henrique Dal Molin Ribeiro, et al.
International Journal of Electrical Power & Energy Systems (2022) Vol. 143, pp. 108504-108504
Closed Access | Times Cited: 73
A CGRU multi-step wind speed forecasting model based on multi-label specific XGBoost feature selection and secondary decomposition
Zheyong Jiang, Jinxing Che, Mingjun He, et al.
Renewable Energy (2022) Vol. 203, pp. 802-827
Closed Access | Times Cited: 71
Evolutionary quantile regression gated recurrent unit network based on variational mode decomposition, improved whale optimization algorithm for probabilistic short-term wind speed prediction
Chu Zhang, Chunlei Ji, Lei Hua, et al.
Renewable Energy (2022) Vol. 197, pp. 668-682
Closed Access | Times Cited: 70
Short-term wind power forecasting based on SSA-VMD-LSTM
Xiao-Zhi Gao, Wang Guo, Chunxiao Mei, et al.
Energy Reports (2023) Vol. 9, pp. 335-344
Open Access | Times Cited: 53
A novel hybrid model based on GA-VMD, sample entropy reconstruction and BiLSTM for wind speed prediction
Zhenjie Liu, Haizhong Liu
Measurement (2023) Vol. 222, pp. 113643-113643
Closed Access | Times Cited: 44
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: 23
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: 21
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 novel decomposition-ensemble prediction model for ultra-short-term wind speed
Zhongda Tian, Hao Chen
Energy Conversion and Management (2021) Vol. 248, pp. 114775-114775
Closed Access | Times Cited: 101
Ultra-short-term wind speed forecasting based on EMD-VAR model and spatial correlation
Zheyong Jiang, Jinxing Che, Lina Wang
Energy Conversion and Management (2021) Vol. 250, pp. 114919-114919
Closed Access | Times Cited: 101
A novel combined model for wind speed prediction – Combination of linear model, shallow neural networks, and deep learning approaches
Shuai Wang, Jianzhou Wang, Haiyan Lu, et al.
Energy (2021) Vol. 234, pp. 121275-121275
Closed Access | Times Cited: 94
A combination forecasting model of wind speed based on decomposition
Zhongda Tian, Hao Li, Feihong Li
Energy Reports (2021) Vol. 7, pp. 1217-1233
Open Access | Times Cited: 78
A comprehensive wind speed prediction system based on Monte Carlo and artificial intelligence algorithms
Yagang Zhang, Yunpeng Zhao, Xiaoyu Shen, et al.
Applied Energy (2021) Vol. 305, pp. 117815-117815
Closed Access | Times Cited: 77
Multi-step short-term wind speed prediction based on integrated multi-model fusion
Zhongda Tian, Hao Chen
Applied Energy (2021) Vol. 298, pp. 117248-117248
Closed Access | Times Cited: 76
Double-layer staged training echo-state networks for wind speed prediction using variational mode decomposition
Yulong Bai, Ming-De Liu, Lin Ding, et al.
Applied Energy (2021) Vol. 301, pp. 117461-117461
Open Access | Times Cited: 63
Deterministic and uncertainty crude oil price forecasting based on outlier detection and modified multi-objective optimization algorithm
Chunying Wu, Jianzhou Wang, Hao Yan
Resources Policy (2022) Vol. 77, pp. 102780-102780
Closed Access | Times Cited: 50
Multi-step ahead wind speed forecasting approach coupling maximal overlap discrete wavelet transform, improved grey wolf optimization algorithm and long short-term memory
Yiman Li, Peng Tian, Chu Zhang, et al.
Renewable Energy (2022) Vol. 196, pp. 1115-1126
Closed Access | Times Cited: 44
A hybrid model based on discrete wavelet transform (DWT) and bidirectional recurrent neural networks for wind speed prediction
Arezoo Barjasteh, Seyyed Hamid Ghafouri, Malihe Hashemi
Engineering Applications of Artificial Intelligence (2023) Vol. 127, pp. 107340-107340
Closed Access | Times Cited: 35
A compound framework incorporating improved outlier detection and correction, VMD, weight-based stacked generalization with enhanced DESMA for multi-step short-term wind speed forecasting
Wenlong Fu, Yuchen Fu, Bailing Li, et al.
Applied Energy (2023) Vol. 348, pp. 121587-121587
Closed Access | Times Cited: 32
Explainable machine learning techniques based on attention gate recurrent unit and local interpretable model‐agnostic explanations for multivariate wind speed forecasting
Lu Peng, Sheng‐Xiang Lv, Lin Wang
Journal of Forecasting (2024) Vol. 43, Iss. 6, pp. 2064-2087
Closed Access | Times Cited: 13
A deterministic and probabilistic hybrid model for wind power forecasting based improved feature screening and optimal Gaussian mixed kernel function
Jujie Wang, Xudong Tang, Weiyi Jiang
Expert Systems with Applications (2024) Vol. 251, pp. 123965-123965
Closed Access | Times Cited: 11
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