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OpenAlex Citation Counts

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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:

VMD-CAT: A hybrid model for short-term wind power prediction
Huan Zheng, Zhenda Hu, Xuguang Wang, et al.
Energy Reports (2023) Vol. 9, pp. 199-211
Open Access | Times Cited: 20

Showing 20 citing articles:

LSTM Short-Term Wind Power Prediction Method Based on Data Preprocessing and Variational Modal Decomposition for Soft Sensors
Peng Lei, Fanglan Ma, Changsheng Zhu, et al.
Sensors (2024) Vol. 24, Iss. 8, pp. 2521-2521
Open Access | Times Cited: 9
Ultra-short-term wind power prediction method based on FTI-VACA-XGB model
Shijie Guan, Yongsheng Wang, Limin Liu, et al.
Expert Systems with Applications (2023) Vol. 235, pp. 121185-121185
Open Access | Times Cited: 20
A short-term power load forecasting system based on data decomposition, deep learning and weighted linear error correction with feedback mechanism
Zhaochen Dong, Zhirui Tian, Shuang Lv
Applied Soft Computing (2024) Vol. 162, pp. 111863-111863
Closed Access | Times Cited: 7
A reconstruction-based secondary decomposition-ensemble framework for wind power forecasting
Runkun Cheng, Di Yang, Da Liu, et al.
Energy (2024) Vol. 308, pp. 132895-132895
Closed Access | Times Cited: 7
Sustainable Energy: Advancing Wind Power Forecasting with Grey Wolf Optimization and GRU Models
Zainab Al-Ibraheemi, Samaher Al-Janabi
Results in Engineering (2024), pp. 102930-102930
Open Access | Times Cited: 7
A novel hybrid deep learning model for multi-step wind speed forecasting considering pairwise dependencies among multiple atmospheric variables
Wenjun Jiang, Pengfei Lin, Yang Liang, et al.
Energy (2023) Vol. 285, pp. 129408-129408
Closed Access | Times Cited: 15
DTTM: A deep temporal transfer model for ultra-short-term online wind power forecasting
Mingwei Zhong, Cancheng Xu, Zikang Xian, et al.
Energy (2023) Vol. 286, pp. 129588-129588
Closed Access | Times Cited: 14
An Adaptive Hybrid Model for Wind Power Prediction Based on the IVMD-FE-Ad-Informer
Yuqian Tian, Dazhi Wang, Guolin Zhou, et al.
Entropy (2023) Vol. 25, Iss. 4, pp. 647-647
Open Access | Times Cited: 13
A novel Bagged-CNN architecture for short-term wind power forecasting
Sachin Mulewa, Azan M Parmar, Ashoke De
International Journal of Green Energy (2024) Vol. 21, Iss. 12, pp. 2712-2723
Closed Access | Times Cited: 5
Short-term wind power prediction based on improved variational modal decomposition, least absolute shrinkage and selection operator, and BiGRU networks
Miaosen Hu, Guoqiang Zheng, Zhonge Su, et al.
Energy (2024) Vol. 303, pp. 131951-131951
Closed Access | Times Cited: 5
Life prediction model for lithium-ion battery via a 3D convolutional network enhanced by channel attention considering charging and discharging process
Zeyu Jiang, Peng Tian, Zihan Tao, et al.
Journal of Energy Storage (2024) Vol. 96, pp. 112725-112725
Closed Access | Times Cited: 4
A survey on wind power forecasting with machine learning approaches
Yang Yang, Hao Lou, Jinran Wu, et al.
Neural Computing and Applications (2024) Vol. 36, Iss. 21, pp. 12753-12773
Open Access | Times Cited: 3
Wind turbine output power prediction by a segmented multivariate polynomial-XGBoost model
Jingwei Wang, Wangqiang Niu, Yanhua Yang
Energy Sources Part A Recovery Utilization and Environmental Effects (2023) Vol. 46, Iss. 1, pp. 505-521
Closed Access | Times Cited: 3
Uniting Optimization and Deep Learning for Complex Problem Solving: A Comprehensive Review
Zainab Ali Braheemi, Samaher Al-Janabi
Lecture notes in networks and systems (2024), pp. 91-106
Closed Access
A Comprehensive Approach to Wind Power Forecasting Using Advanced Hybrid Neural Networks
E. P. Vishnutheerth, Vivek Vijay, Rahul Satheesh, et al.
IEEE Access (2024) Vol. 12, pp. 124790-124800
Open Access
Future directions of computer vision and AI for renewable energy: trends and challenges in renewable energy research and applications
Humaira Hamid, Sandeep Samantaray
Elsevier eBooks (2024), pp. 335-361
Closed Access
Dttm: A Deep Temporal Transfer Model for Short-Term Wind Power Forecasting in Incremental Wind Power Scenarios
Mingwei Zhong, Cancheng Xu, Zikang Xian, et al.
(2023)
Closed Access
Short-Term Electricity Load Forecasting Based on Back Propagation Neural Network Considering Key Meteorological Factors
Hankun Liu, Lizheng Chen, Xiaohan Shi
(2023), pp. 260-263
Closed Access
An attention mechanism based deep nonlinear ensemble paradigm of strengthened feature extraction method for wind power prediction
Jujie Wang, Yafen Liu
Journal of Renewable and Sustainable Energy (2023) Vol. 15, Iss. 6
Closed Access
Multi-dimensional wind power prediction based on time-series characterization analysis and VMD-EMD quadratic decomposition
Zhe Zhang, Jing Gao, Yongsheng Wang, et al.
(2023) Vol. 42, pp. 55-66
Closed Access
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