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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:

A New Hybrid Prediction Method of Ultra-Short-Term Wind Power Forecasting Based on EEMD-PE and LSSVM Optimized by the GSA
Peng Lu, Lin Ye, Bohao Sun, et al.
Energies (2018) Vol. 11, Iss. 4, pp. 697-697
Open Access | Times Cited: 53

Showing 1-25 of 53 citing articles:

A review of very short-term wind and solar power forecasting
Rosemary Tawn, Jethro Browell
Renewable and Sustainable Energy Reviews (2021) Vol. 153, pp. 111758-111758
Open Access | Times Cited: 176
Hybrid wind speed forecasting using ICEEMDAN and transformer model with novel loss function
Bala Saibabu Bommidi, Kiran Teeparthi, Vishalteja Kosana
Energy (2022) Vol. 265, pp. 126383-126383
Closed Access | Times Cited: 83
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: 132
A review of applications of artificial intelligent algorithms in wind farms
Yirui Wang, Yang Yu, Shuyang Cao, et al.
Artificial Intelligence Review (2019) Vol. 53, Iss. 5, pp. 3447-3500
Closed Access | Times Cited: 106
The Hybridization of Ensemble Empirical Mode Decomposition with Forecasting Models: Application of Short-Term Wind Speed and Power Modeling
Neeraj Dhanraj Bokde, Andrés Feijóo, Nadhir Al‐Ansari, et al.
Energies (2020) Vol. 13, Iss. 7, pp. 1666-1666
Open Access | Times Cited: 75
Wind speed forecasting system based on gated recurrent units and convolutional spiking neural networks
Danxiang Wei, Jianzhou Wang, Xinsong Niu, et al.
Applied Energy (2021) Vol. 292, pp. 116842-116842
Closed Access | Times Cited: 74
Hybridization of hybrid structures for time series forecasting: a review
Zahra Hajirahimi, Mehdi Khashei
Artificial Intelligence Review (2022) Vol. 56, Iss. 2, pp. 1201-1261
Closed Access | Times Cited: 65
Artificial Intelligence in Wind Speed Forecasting: A Review
Sandra Minerva Valdivia-Bautista, José A. Domínguez‐Navarro, Marco Pérez‐Cisneros, et al.
Energies (2023) Vol. 16, Iss. 5, pp. 2457-2457
Open Access | Times Cited: 37
Artificial Intelligence and Machine Learning in Grid Connected Wind Turbine Control Systems: A Comprehensive Review
Nathan Oaks Farrar, Mohd. Hasan Ali, Dipankar Dasgupta
Energies (2023) Vol. 16, Iss. 3, pp. 1530-1530
Open Access | Times Cited: 28
A long-term multivariate time series forecasting network combining series decomposition and convolutional neural networks
Xingyu Wang, Hui Liu, Junzhao Du, et al.
Applied Soft Computing (2023) Vol. 139, pp. 110214-110214
Closed Access | Times Cited: 25
A novel wind speed forecasting combined model using variational mode decomposition, sparse auto-encoder and optimized fuzzy cognitive mapping network
Yahui Hu, Yingshi Guo, Rui Fu
Energy (2023) Vol. 278, pp. 127926-127926
Closed Access | Times Cited: 22
Vibration trend measurement for a hydropower generator based on optimal variational mode decomposition and an LSSVM improved with chaotic sine cosine algorithm optimization
Wenlong Fu, Kai Wang, Chaoshun Li, et al.
Measurement Science and Technology (2018) Vol. 30, Iss. 1, pp. 015012-015012
Closed Access | Times Cited: 64
A Novel Deep Learning Approach for Wind Power Forecasting Based on WD-LSTM Model
Bingchun Liu, Shijie Zhao, Xiaogang Yu, et al.
Energies (2020) Vol. 13, Iss. 18, pp. 4964-4964
Open Access | Times Cited: 63
A review of ultra-short-term forecasting of wind power based on data decomposition-forecasting technology combination model
Yulong Chen, Xue Hu, Lixin Zhang
Energy Reports (2022) Vol. 8, pp. 14200-14219
Open Access | Times Cited: 29
Wind Speed Forecasting Method Using EEMD and the Combination Forecasting Method Based on GPR and LSTM
Yuansheng Huang, Shijian Liu, Lei Yang
Sustainability (2018) Vol. 10, Iss. 10, pp. 3693-3693
Open Access | Times Cited: 51
Current Perspective on the Accuracy of Deterministic Wind Speed and Power Forecasting
Muhammad Uzair Yousuf, Ibrahim Al‐Bahadly, Ebubekir Avci
IEEE Access (2019) Vol. 7, pp. 159547-159564
Open Access | Times Cited: 50
Ultra Short-Term Wind Power Forecasting Based on Sparrow Search Algorithm Optimization Deep Extreme Learning Machine
Guoqing An, Ziyao Jiang, Libo Chen, et al.
Sustainability (2021) Vol. 13, Iss. 18, pp. 10453-10453
Open Access | Times Cited: 37
Review of restoration technology for renewable‐dominated electric power systems
Changming Chen, Hongle Liang, Xingli Zhai, et al.
Energy Conversion and Economics (2022) Vol. 3, Iss. 5, pp. 287-303
Closed Access | Times Cited: 22
A Review of Wind Power Prediction Methods Based on Multi-Time Scales
Fan Li, Hongzhen Wang, Dan Wang, et al.
Energies (2025) Vol. 18, Iss. 7, pp. 1713-1713
Open Access
Ultra-Short-Term Wind Power Prediction Based on Multivariate Phase Space Reconstruction and Multivariate Linear Regression
Rongsheng Liu, Minfang Peng, Xianghui Xiao
Energies (2018) Vol. 11, Iss. 10, pp. 2763-2763
Open Access | Times Cited: 38
A novel deep interval prediction model with adaptive interval construction strategy and automatic hyperparameter tuning for wind speed forecasting
Yuying Xie, Chaoshun Li, Geng Tang, et al.
Energy (2020) Vol. 216, pp. 119179-119179
Closed Access | Times Cited: 38
Reference Evapotranspiration Modeling Using New Heuristic Methods
Rana Muhammad Adnan, Zhihuan Chen, Xiaohui Yuan, et al.
Entropy (2020) Vol. 22, Iss. 5, pp. 547-547
Open Access | Times Cited: 35
A Combined Model Based on CEEMDAN, Permutation Entropy, Gated Recurrent Unit Network, and an Improved Bat Algorithm for Wind Speed Forecasting
Tao Liang, Gaofeng Xie, Shurui Fan, et al.
IEEE Access (2020) Vol. 8, pp. 165612-165630
Open Access | Times Cited: 34
Adaptive short-term wind power forecasting with concept drifts
Yanting Li, Zhenyu Wu, Yan Su
Renewable Energy (2023) Vol. 217, pp. 119146-119146
Closed Access | Times Cited: 12
A combined model of dissolved oxygen prediction in the pond based on multiple-factor analysis and multi-scale feature extraction
Weijian Cao, Juan Huan, Chen Liu, et al.
Aquacultural Engineering (2018) Vol. 84, pp. 50-59
Closed Access | Times Cited: 34
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