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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 the hybrid model of improved variational mode decomposition and Correntropy Long Short -term memory neural network
Jiandong Duan, Peng Wang, Wentao Ma, et al.
Energy (2020) Vol. 214, pp. 118980-118980
Closed Access | Times Cited: 178

Showing 1-25 of 178 citing articles:

A deep learning-based evolutionary model for short-term wind speed forecasting: A case study of the Lillgrund offshore wind farm
Mehdi Neshat, Meysam Majidi Nezhad, Ehsan Abbasnejad, et al.
Energy Conversion and Management (2021) Vol. 236, pp. 114002-114002
Closed Access | Times Cited: 181
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-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: 138
A novel framework for ultra-short-term interval wind power prediction based on RF-WOA-VMD and BiGRU optimized by the attention mechanism
Min Yu, Dongxiao Niu, Tian Gao, et al.
Energy (2023) Vol. 269, pp. 126738-126738
Closed Access | Times Cited: 127
Efficient bootstrap stacking ensemble learning model applied to wind power generation forecasting
Matheus Henrique Dal Molin Ribeiro, Ramon Gomes da Silva, Sinvaldo Rodrigues Moreno, et al.
International Journal of Electrical Power & Energy Systems (2021) Vol. 136, pp. 107712-107712
Closed Access | Times Cited: 121
Point and interval forecasting of ultra-short-term wind power based on a data-driven method and hybrid deep learning model
Dongxiao Niu, Lijie Sun, Min Yu, et al.
Energy (2022) Vol. 254, pp. 124384-124384
Closed Access | Times Cited: 109
Boosted ANFIS model using augmented marine predator algorithm with mutation operators for wind power forecasting
Mohammed A. A. Al‐qaness, Ahmed A. Ewees, Hong Fan, et al.
Applied Energy (2022) Vol. 314, pp. 118851-118851
Closed Access | Times Cited: 103
Wind Energy Scenario, Success and Initiatives towards Renewable Energy in India—A Review
Upma Singh, M. Rizwan, Hasmat Malik, et al.
Energies (2022) Vol. 15, Iss. 6, pp. 2291-2291
Open Access | Times Cited: 97
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: 82
A dual-optimization wind speed forecasting model based on deep learning and improved dung beetle optimization algorithm
Yanhui Li, Kaixuan Sun, Qi Yao, et al.
Energy (2023) Vol. 286, pp. 129604-129604
Closed Access | Times Cited: 66
A novel GA-LSTM-based prediction method of ship energy usage based on the characteristics analysis of operational data
Kai Wang, Yu Hua, Lianzhong Huang, et al.
Energy (2023) Vol. 282, pp. 128910-128910
Open Access | Times Cited: 49
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 hybrid photovoltaic/wind power prediction model based on Time2Vec, WDCNN and BiLSTM
Donghan Geng, Bo Wang, Qi Gao
Energy Conversion and Management (2023) Vol. 291, pp. 117342-117342
Closed Access | Times Cited: 42
A novel hybrid model based on Empirical Mode Decomposition and Echo State Network for wind power forecasting
Uğur Yüzgeç, Emrah Dokur, MEHMET EMİN BALCI
Energy (2024) Vol. 300, pp. 131546-131546
Closed Access | Times Cited: 20
Evaluating the Performance of Several Data Preprocessing Methods Based on GRU in Forecasting Monthly Runoff Time Series
Wenchuan Wang, Yu-jin Du, Kwok‐wing Chau, et al.
Water Resources Management (2024) Vol. 38, Iss. 9, pp. 3135-3152
Open Access | Times Cited: 19
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: 19
Research on long term power load grey combination forecasting based on fuzzy support vector machine
Yangbo Chen, Chun Xiao, Shuai Yang, et al.
Computers & Electrical Engineering (2024) Vol. 116, pp. 109205-109205
Closed Access | Times Cited: 18
Wind turbine power output prediction using a new hybrid neuro-evolutionary method
Mehdi Neshat, Meysam Majidi Nezhad, Ehsan Abbasnejad, et al.
Energy (2021) Vol. 229, pp. 120617-120617
Open Access | Times Cited: 98
Using enhanced crow search algorithm optimization-extreme learning machine model to forecast short-term wind power
Lingling Li, Zhifeng Liu, Ming‐Lang Tseng, et al.
Expert Systems with Applications (2021) Vol. 184, pp. 115579-115579
Open Access | Times Cited: 78
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: 67
A simple approach for short-term wind speed interval prediction based on independently recurrent neural networks and error probability distribution
Adnan Saeed, Chaoshun Li, Zhenhao Gan, et al.
Energy (2021) Vol. 238, pp. 122012-122012
Closed Access | Times Cited: 62
Wind Power Forecasting Using Attention-Based Recurrent Neural Networks: A Comparative Study
Huang Bin, Yuying Liang, Xiaolin Qiu
IEEE Access (2021) Vol. 9, pp. 40432-40444
Open Access | Times Cited: 56
Quaternion convolutional long short-term memory neural model with an adaptive decomposition method for wind speed forecasting: North aegean islands case studies
Mehdi Neshat, Meysam Majidi Nezhad, Seyedali Mirjalili, et al.
Energy Conversion and Management (2022) Vol. 259, pp. 115590-115590
Closed Access | Times Cited: 53
A wind power forecasting method based on optimized decomposition prediction and error correction
Jun Li, Shuqing Zhang, Zhenning Yang
Electric Power Systems Research (2022) Vol. 208, pp. 107886-107886
Closed Access | Times Cited: 50
A novel wind power prediction approach using multivariate variational mode decomposition and multi-objective crisscross optimization based deep extreme learning machine
Anbo Meng, Zibin Zhu, Weisi Deng, et al.
Energy (2022) Vol. 260, pp. 124957-124957
Closed Access | Times Cited: 45
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