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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:

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: 263

Showing 1-25 of 263 citing articles:

A review of wind speed and wind power forecasting with deep neural networks
Yun Wang, Runmin Zou, Fang Liu, et al.
Applied Energy (2021) Vol. 304, pp. 117766-117766
Closed Access | Times Cited: 545
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: 148
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: 135
Integrated framework of extreme learning machine (ELM) based on improved atom search optimization for short-term wind speed prediction
Lei Hua, Chu Zhang, Peng Tian, et al.
Energy Conversion and Management (2021) Vol. 252, pp. 115102-115102
Closed Access | Times Cited: 125
A novel offshore wind farm typhoon wind speed prediction model based on PSO–Bi-LSTM improved by VMD
Jiale Li, Zihao Song, Xuefei Wang, et al.
Energy (2022) Vol. 251, pp. 123848-123848
Closed Access | Times Cited: 119
New developments in wind energy forecasting with artificial intelligence and big data: a scientometric insight
Erlong Zhao, Shaolong Sun, Shouyang Wang
Data Science and Management (2022) Vol. 5, Iss. 2, pp. 84-95
Open Access | Times Cited: 119
Deep learning combined wind speed forecasting with hybrid time series decomposition and multi-objective parameter optimization
Sheng-Xiang Lv, Lin Wang
Applied Energy (2022) Vol. 311, pp. 118674-118674
Closed Access | Times Cited: 87
A combined short-term wind speed forecasting model based on CNN–RNN and linear regression optimization considering error
Jikai Duan, Mingheng Chang, Xiangyue Chen, et al.
Renewable Energy (2022) Vol. 200, pp. 788-808
Closed Access | Times Cited: 80
Multi-step-ahead stock price index forecasting using long short-term memory model with multivariate empirical mode decomposition
Changrui Deng, Yanmei Huang, Najmul Hasan, et al.
Information Sciences (2022) Vol. 607, pp. 297-321
Closed Access | Times Cited: 77
Wind speed prediction using a hybrid model of EEMD and LSTM considering seasonal features
Yi Yan, Xuerui Wang, Fei Ren, et al.
Energy Reports (2022) Vol. 8, pp. 8965-8980
Open Access | Times Cited: 75
Thermal fault prognosis of lithium-ion batteries in real-world electric vehicles using self-attention mechanism networks
Jichao Hong, Huaqin Zhang, Xiaoming Xu
Applied Thermal Engineering (2023) Vol. 226, pp. 120304-120304
Closed Access | Times Cited: 48
A spatio-temporal forecasting model using optimally weighted graph convolutional network and gated recurrent unit for wind speed of different sites distributed in an offshore wind farm
Xuefang Xu, Shiting Hu, Huaishuang Shao, et al.
Energy (2023) Vol. 284, pp. 128565-128565
Closed Access | Times Cited: 48
Seasonal peak load prediction of underground gas storage using a novel two-stage model combining improved complete ensemble empirical mode decomposition and long short-term memory with a sparrow search algorithm
Weibiao Qiao, Zonghua Fu, Mingjun Du, et al.
Energy (2023) Vol. 274, pp. 127376-127376
Closed Access | Times Cited: 41
A hybrid deep learning model based on parallel architecture TCN-LSTM with Savitzky-Golay filter for wind power prediction
Shujun Liu, Tong Xu, Xiaoze Du, et al.
Energy Conversion and Management (2024) Vol. 302, pp. 118122-118122
Closed Access | Times Cited: 29
Arctic short-term wind speed forecasting based on CNN-LSTM model with CEEMDAN
Qingyang Li, Guosong Wang, Xinrong Wu, et al.
Energy (2024) Vol. 299, pp. 131448-131448
Closed Access | Times Cited: 19
Elman neural network considering dynamic time delay estimation for short-term forecasting of offshore wind power
Jing Huang, Rui Qin
Applied Energy (2024) Vol. 358, pp. 122671-122671
Closed Access | Times Cited: 16
A hybrid model for multi-step coal price forecasting using decomposition technique and deep learning algorithms
Kefei Zhang, Hua Cao, Jesse Van Griensven Thé, et al.
Applied Energy (2021) Vol. 306, pp. 118011-118011
Closed Access | Times Cited: 83
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: 76
A new insight to the wind speed forecasting: robust multi-stage ensemble soft computing approach based on pre-processing uncertainty assessment
Eyyup Ensar Başakın, Ömer Ekmekcioğlu, Hatice Çıtakoğlu, et al.
Neural Computing and Applications (2021) Vol. 34, Iss. 1, pp. 783-812
Closed Access | Times Cited: 75
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: 67
Hybridization of hybrid structures for time series forecasting: a review
Zahra Hajirahimi, Mehdi Khashei
Artificial Intelligence Review (2022) Vol. 56, Iss. 2, pp. 1201-1261
Closed Access | Times Cited: 65
A novel prediction model for wind power based on improved long short-term memory neural network
Jianing Wang, Hongqiu Zhu, Yingjie Zhang, et al.
Energy (2022) Vol. 265, pp. 126283-126283
Closed Access | Times Cited: 65
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: 62
Multivariate selection-combination short-term wind speed forecasting system based on convolution-recurrent network and multi-objective chameleon swarm algorithm
Jianzhou Wang, Mengzheng Lv, Zhiwu Li, et al.
Expert Systems with Applications (2022) Vol. 214, pp. 119129-119129
Closed Access | Times Cited: 62
A new carbon price prediction model
Guohui Li, Zhiyuan Ning, Hong Yang, et al.
Energy (2021) Vol. 239, pp. 122324-122324
Closed Access | Times Cited: 57
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