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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:

Short term wind power forecasting using hybrid variational mode decomposition and multi-kernel regularized pseudo inverse neural network
Jyotirmayee Naik, Sujit Kumar Dash, P.K. Dash, et al.
Renewable Energy (2017) Vol. 118, pp. 180-212
Closed Access | Times Cited: 109

Showing 1-25 of 109 citing articles:

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: 336
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: 224
Monthly runoff time series prediction by variational mode decomposition and support vector machine based on quantum-behaved particle swarm optimization
Zhong-kai Feng, Wen-jing Niu, Zhengyang Tang, et al.
Journal of Hydrology (2020) Vol. 583, pp. 124627-124627
Closed Access | Times Cited: 212
Decomposition ensemble model based on variational mode decomposition and long short-term memory for streamflow forecasting
Ganggang Zuo, Jungang Luo, Ni Wang, et al.
Journal of Hydrology (2020) Vol. 585, pp. 124776-124776
Closed Access | Times Cited: 210
Sequence transfer correction algorithm for numerical weather prediction wind speed and its application in a wind power forecasting system
Han Wang, Shuang Han, Yongqian Liu, et al.
Applied Energy (2019) Vol. 237, pp. 1-10
Closed Access | Times Cited: 179
Short-term wind power forecasting approach based on Seq2Seq model using NWP data
Yu Zhang, Yanting Li, Guangyao Zhang
Energy (2020) Vol. 213, pp. 118371-118371
Closed Access | Times Cited: 177
Prediction interval of wind power using parameter optimized Beta distribution based LSTM model
Xiaohui Yuan, Chen Chen, Min Jiang, et al.
Applied Soft Computing (2019) Vol. 82, pp. 105550-105550
Closed Access | Times Cited: 173
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: 163
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 novel decomposition-ensemble learning framework for multi-step ahead wind energy forecasting
Ramon Gomes da Silva, Matheus Henrique Dal Molin Ribeiro, Sinvaldo Rodrigues Moreno, et al.
Energy (2020) Vol. 216, pp. 119174-119174
Closed Access | Times Cited: 155
A hybrid attention-based deep learning approach for wind power prediction
Zhengjing Ma, Gang Mei
Applied Energy (2022) Vol. 323, pp. 119608-119608
Closed Access | Times Cited: 101
A review of short-term wind power generation forecasting methods in recent technological trends
Ezgi Arslan Tuncar, Şafak Sağlam, Bülent Oral
Energy Reports (2024) Vol. 12, pp. 197-209
Closed Access | Times Cited: 20
Multi‐step wind power forecast based on VMD‐LSTM
Li Han, Rongchang Zhang, Xuesong Wang, et al.
IET Renewable Power Generation (2019) Vol. 13, Iss. 10, pp. 1690-1700
Closed Access | Times Cited: 137
Daily Runoff Forecasting Using a Hybrid Model Based on Variational Mode Decomposition and Deep Neural Networks
Xinxin He, Jungang Luo, Ganggang Zuo, et al.
Water Resources Management (2019) Vol. 33, Iss. 4, pp. 1571-1590
Closed Access | Times Cited: 136
Wind power forecasting based on singular spectrum analysis and a new hybrid Laguerre neural network
Cong Wang, Hongli Zhang, Ping Ma
Applied Energy (2019) Vol. 259, pp. 114139-114139
Closed Access | Times Cited: 134
An overview of performance evaluation metrics for short-term statistical wind power forecasting
Juan Manuel González Sopeña, Vikram Pakrashi, Bidisha Ghosh
Renewable and Sustainable Energy Reviews (2020) Vol. 138, pp. 110515-110515
Open Access | Times Cited: 125
A multi-objective wind speed and wind power prediction interval forecasting using variational modes decomposition based Multi-kernel robust ridge regression
Jyotirmayee Naik, P.K. Dash, Snehamoy Dhar
Renewable Energy (2019) Vol. 136, pp. 701-731
Closed Access | Times Cited: 120
Monthly crude oil spot price forecasting using variational mode decomposition
Jinchao Li, Shaowen Zhu, Qianqian Wu
Energy Economics (2019) Vol. 83, pp. 240-253
Closed Access | Times Cited: 92
Short-term wind speed forecasting framework based on stacked denoising auto-encoders with rough ANN
Hamidreza Jahangir, Masoud Aliakbar Golkar, Falah Alhameli, et al.
Sustainable Energy Technologies and Assessments (2020) Vol. 38, pp. 100601-100601
Closed Access | Times Cited: 90
State-of-the-art one-stop handbook on wind forecasting technologies: An overview of classifications, methodologies, and analysis
Bo Yang, Linen Zhong, Jingbo Wang, et al.
Journal of Cleaner Production (2020) Vol. 283, pp. 124628-124628
Closed Access | Times Cited: 89
A novel deep learning intelligent clustered hybrid models for wind speed and power forecasting
Hamed H. Aly
Energy (2020) Vol. 213, pp. 118773-118773
Closed Access | Times Cited: 80
Time series-based groundwater level forecasting using gated recurrent unit deep neural networks
Haiping Lin, Amin Gharehbaghi, Qian Zhang, et al.
Engineering Applications of Computational Fluid Mechanics (2022) Vol. 16, Iss. 1, pp. 1655-1672
Open Access | Times Cited: 51
Short-term wind power prediction optimized by multi-objective dragonfly algorithm based on variational mode decomposition
Yilin Zhou, Jianzhou Wang, Haiyan Lu, et al.
Chaos Solitons & Fractals (2022) Vol. 157, pp. 111982-111982
Closed Access | Times Cited: 45
Wind power forecasting based on variational mode decomposition and high-order fuzzy cognitive maps
Baihao Qiao, Jing Liu, Peng Wu, et al.
Applied Soft Computing (2022) Vol. 129, pp. 109586-109586
Closed Access | Times Cited: 40
Capacity configuration strategy of SOEC- battery based hybrid energy storage system for suppressing fluctuation of wind power
Xin Wu, Zhang Li-xi, Feng Ge, et al.
Proceedings of the Institution of Mechanical Engineers Part A Journal of Power and Energy (2025)
Closed Access | Times Cited: 1
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