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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.

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Showing 1-25 of 123 citing articles:

A review of deep learning for renewable energy forecasting
Huaizhi Wang, Zhenxing Lei, Xian Zhang, et al.
Energy Conversion and Management (2019) Vol. 198, pp. 111799-111799
Closed Access | Times Cited: 861
Deep learning based ensemble approach for probabilistic wind power forecasting
Huaizhi Wang, Gangqiang Li, Guibin Wang, et al.
Applied Energy (2016) Vol. 188, pp. 56-70
Closed Access | Times Cited: 641
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: 538
Application of support vector machine models for forecasting solar and wind energy resources: A review
Alireza Zendehboudi, M.A. Baseer, R. Saidur
Journal of Cleaner Production (2018) Vol. 199, pp. 272-285
Closed Access | Times Cited: 508
Deep belief network based deterministic and probabilistic wind speed forecasting approach
Hai‐Kun Wang, G.B. Wang, Guangbo Li, et al.
Applied Energy (2016) Vol. 182, pp. 80-93
Closed Access | Times Cited: 459
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
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
Review of distributed generation (DG) system planning and optimisation techniques: Comparison of numerical and mathematical modelling methods
Wai Lip Theo, Jeng Shiun Lim, Wai Shin Ho, et al.
Renewable and Sustainable Energy Reviews (2016) Vol. 67, pp. 531-573
Closed Access | Times Cited: 266
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 hybrid model for short-term wind power forecasting
Pei Du, Jianzhou Wang, Wendong Yang, et al.
Applied Soft Computing (2019) Vol. 80, pp. 93-106
Closed Access | Times Cited: 236
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
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
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
The energy security risk assessment of inefficient wind and solar resources under carbon neutrality in China
Jingbo Sun, Yang Wang, Yuan He, et al.
Applied Energy (2024) Vol. 360, pp. 122889-122889
Closed Access | Times Cited: 16
An experimental investigation of three new hybrid wind speed forecasting models using multi-decomposing strategy and ELM algorithm
Hui Liu, Xiwei Mi, Yanfei Li
Renewable Energy (2018) Vol. 123, pp. 694-705
Closed Access | Times Cited: 149
Short-term wind speed prediction using an extreme learning machine model with error correction
Lili Wang, Xin Li, Yulong Bai
Energy Conversion and Management (2018) Vol. 162, pp. 239-250
Closed Access | Times Cited: 141
Multi-step ahead forecasting in electrical power system using a hybrid forecasting system
Pei Du, Jianzhou Wang, Wendong Yang, et al.
Renewable Energy (2018) Vol. 122, pp. 533-550
Closed Access | Times Cited: 140
Multi-step ahead wind speed prediction based on optimal feature extraction, long short term memory neural network and error correction strategy
Jujie Wang, Yaning Li
Applied Energy (2018) Vol. 230, pp. 429-443
Closed Access | Times Cited: 128
Short-term wind speed forecasting using a hybrid model
Ping Jiang, Yun Wang, Jianzhou Wang
Energy (2016) Vol. 119, pp. 561-577
Closed Access | Times Cited: 122
Wind speed forecasting approach based on Singular Spectrum Analysis and Adaptive Neuro Fuzzy Inference System
Sinvaldo Rodrigues Moreno, Leandro dos Santos Coelho
Renewable Energy (2017) Vol. 126, pp. 736-754
Closed Access | Times Cited: 121
Big multi-step wind speed forecasting model based on secondary decomposition, ensemble method and error correction algorithm
Hui Liu, Zhu Duan, Feng-ze Han, et al.
Energy Conversion and Management (2017) Vol. 156, pp. 525-541
Closed Access | Times Cited: 119
Smart wind speed forecasting using EWT decomposition, GWO evolutionary optimization, RELM learning and IEWT reconstruction
Hui Liu, Haiping Wu, Yanfei Li
Energy Conversion and Management (2018) Vol. 161, pp. 266-283
Closed Access | Times Cited: 109
Day-ahead wind power forecasting based on the clustering of equivalent power curves
Mao Yang, Chaoyu Shi, Huiyu Liu
Energy (2020) Vol. 218, pp. 119515-119515
Closed Access | Times Cited: 104
Hybrid wind speed forecasting model based on multivariate data secondary decomposition approach and deep learning algorithm with attention mechanism
Shuai Zhang, Yong Chen, Jiuhong Xiao, et al.
Renewable Energy (2021) Vol. 174, pp. 688-704
Closed Access | Times Cited: 96
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