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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:

Multi-step wind speed forecasting based on a hybrid forecasting architecture and an improved bat algorithm
Li‐Ye Xiao, Feng Qian, Wei Shao
Energy Conversion and Management (2017) Vol. 143, pp. 410-430
Closed Access | Times Cited: 114

Showing 1-25 of 114 citing articles:

Wind speed forecasting method based on deep learning strategy using empirical wavelet transform, long short term memory neural network and Elman neural network
Hui Liu, Xiwei Mi, Yan-fei Li
Energy Conversion and Management (2017) Vol. 156, pp. 498-514
Closed Access | Times Cited: 420
A review and discussion of decomposition-based hybrid models for wind energy forecasting applications
Zheng Qian, Yan Pei, Hamidreza Zareipour, et al.
Applied Energy (2018) Vol. 235, pp. 939-953
Closed Access | Times Cited: 329
Data processing strategies in wind energy forecasting models and applications: A comprehensive review
Hui Liu, Chao Chen
Applied Energy (2019) Vol. 249, pp. 392-408
Closed Access | Times Cited: 295
Smart deep learning based wind speed prediction model using wavelet packet decomposition, convolutional neural network and convolutional long short term memory network
Hui Liu, Xiwei Mi, Yanfei Li
Energy Conversion and Management (2018) Vol. 166, pp. 120-131
Closed Access | Times Cited: 286
A nonlinear hybrid wind speed forecasting model using LSTM network, hysteretic ELM and Differential Evolution algorithm
Ya-Lan Hu, Liang Chen
Energy Conversion and Management (2018) Vol. 173, pp. 123-142
Closed Access | Times Cited: 284
A novel hybrid system based on a new proposed algorithm—Multi-Objective Whale Optimization Algorithm for wind speed forecasting
Jianzhou Wang, Pei Du, Tong Niu, et al.
Applied Energy (2017) Vol. 208, pp. 344-360
Closed Access | Times Cited: 272
Wind power forecasting using attention-based gated recurrent unit network
Zhewen Niu, Zeyuan Yu, Wenhu Tang, et al.
Energy (2020) Vol. 196, pp. 117081-117081
Closed Access | Times Cited: 252
Deterministic wind energy forecasting: A review of intelligent predictors and auxiliary methods
Hui Liu, Chao Chen, Xinwei Lv, et al.
Energy Conversion and Management (2019) Vol. 195, pp. 328-345
Closed Access | Times Cited: 250
A novel two-stage forecasting model based on error factor and ensemble method for multi-step wind power forecasting
Hao Yan, Tian Cheng-shi
Applied Energy (2019) Vol. 238, pp. 368-383
Closed Access | Times Cited: 222
Wind speed prediction model using singular spectrum analysis, empirical mode decomposition and convolutional support vector machine
Xiwei Mi, Hui Liu, Yanfei Li
Energy Conversion and Management (2018) Vol. 180, pp. 196-205
Closed Access | Times Cited: 221
A novel hybrid forecasting system of wind speed based on a newly developed multi-objective sine cosine algorithm
Jianzhou Wang, Wendong Yang, Pei Du, et al.
Energy Conversion and Management (2018) Vol. 163, pp. 134-150
Closed Access | Times Cited: 206
Day-ahead traffic flow forecasting based on a deep belief network optimized by the multi-objective particle swarm algorithm
Linchao Li, Lingqiao Qin, Xu Qu, et al.
Knowledge-Based Systems (2019) Vol. 172, pp. 1-14
Closed Access | Times Cited: 197
Ensemble empirical mode decomposition based adaptive wavelet neural network method for wind speed prediction
Santhosh Madasthu, Chintham Venkaiah, D. M. Vinod Kumar
Energy Conversion and Management (2018) Vol. 168, pp. 482-493
Closed Access | Times Cited: 188
A novel hybrid system based on multi-objective optimization for wind speed forecasting
Chunying Wu, Jianzhou Wang, Xuejun Chen, et al.
Renewable Energy (2019) Vol. 146, pp. 149-165
Closed Access | Times Cited: 184
Smart wind speed deep learning based multi-step forecasting model using singular spectrum analysis, convolutional Gated Recurrent Unit network and Support Vector Regression
Hui Liu, Xiwei Mi, Yanfei Li, et al.
Renewable Energy (2019) Vol. 143, pp. 842-854
Closed Access | Times Cited: 174
Multi-step short-term wind speed forecasting approach based on multi-scale dominant ingredient chaotic analysis, improved hybrid GWO-SCA optimization and ELM
Wenlong Fu, Kai Wang, Chaoshun Li, et al.
Energy Conversion and Management (2019) Vol. 187, pp. 356-377
Closed Access | Times Cited: 162
A review on multi-objective optimization framework in wind energy forecasting techniques and applications
Hui Liu, Ye Li, Zhu Duan, et al.
Energy Conversion and Management (2020) Vol. 224, pp. 113324-113324
Closed Access | Times Cited: 154
A long-term prediction approach based on long short-term memory neural networks with automatic parameter optimization by Tree-structured Parzen Estimator and applied to time-series data of NPP steam generators
Hoang-Phuong Nguyen, Jie Liu, Enrico Zio
Applied Soft Computing (2020) Vol. 89, pp. 106116-106116
Open Access | Times Cited: 137
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: 129
Multi-step ahead wind speed forecasting using an improved wavelet neural network combining variational mode decomposition and phase space reconstruction
Deyun Wang, Hongyuan Luo, Olivier Grunder, et al.
Renewable Energy (2017) Vol. 113, pp. 1345-1358
Closed Access | Times Cited: 166
Research and application of a novel hybrid forecasting system based on multi-objective optimization for wind speed forecasting
Pei Du, Jianzhou Wang, Zhenhai Guo, et al.
Energy Conversion and Management (2017) Vol. 150, pp. 90-107
Closed Access | Times Cited: 159
Multi-step wind speed forecasting using EWT decomposition, LSTM principal computing, RELM subordinate computing and IEWT reconstruction
Yanfei Li, Haiping Wu, Hui Liu
Energy Conversion and Management (2018) Vol. 167, pp. 203-219
Closed Access | Times Cited: 159
Comparison of two new intelligent wind speed forecasting approaches based on Wavelet Packet Decomposition, Complete Ensemble Empirical Mode Decomposition with Adaptive Noise and Artificial Neural Networks
Hui Liu, Xiwei Mi, Yanfei Li
Energy Conversion and Management (2017) Vol. 155, pp. 188-200
Closed Access | Times Cited: 128
A novel wind speed forecasting system based on hybrid data preprocessing and multi-objective optimization
Tian Cheng-shi, Hao Yan, Jianming Hu
Applied Energy (2018) Vol. 231, pp. 301-319
Closed Access | Times Cited: 124
Current advances and approaches in wind speed and wind power forecasting for improved renewable energy integration: A review
Santhosh Madasthu, Chintham Venkaiah, D. M. Vinod Kumar
Engineering Reports (2020) Vol. 2, Iss. 6
Open Access | Times Cited: 119
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