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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:

Improved EMD-Based Complex Prediction Model for Wind Power Forecasting
Oveis Abedinia, Mohamed Lotfi, Mehdi Bagheri, et al.
IEEE Transactions on Sustainable Energy (2020) Vol. 11, Iss. 4, pp. 2790-2802
Closed Access | Times Cited: 173

Showing 1-25 of 173 citing articles:

A dual-scale deep learning model based on ELM-BiLSTM and improved reptile search algorithm for wind power prediction
Jinlin Xiong, Peng Tian, Zihan Tao, et al.
Energy (2022) Vol. 266, pp. 126419-126419
Closed Access | Times Cited: 144
Ultra‐short‐term multi‐step wind power forecasting based on CNN‐LSTM
Qianyu Wu, Fei Guan, Chen Lv, et al.
IET Renewable Power Generation (2021) Vol. 15, Iss. 5, pp. 1019-1029
Open Access | Times Cited: 134
Risk-constrained stochastic scheduling for energy hub: Integrating renewables, demand response, and electric vehicles
Chengying Yang, Zhixin Wu, Xuetao Li, et al.
Energy (2023) Vol. 288, pp. 129680-129680
Closed Access | Times Cited: 75
Short-term wind power forecasting based on SSA-VMD-LSTM
Xiao-Zhi Gao, Wang Guo, Chunxiao Mei, et al.
Energy Reports (2023) Vol. 9, pp. 335-344
Open Access | Times Cited: 50
Wind power ultra-short-term prediction method based on NWP wind speed correction and double clustering division of transitional weather process
Mao Yang, Yunfeng Guo, Y. Huang
Energy (2023) Vol. 282, pp. 128947-128947
Closed Access | Times Cited: 50
A wavelet-LSTM model for short-term wind power forecasting using wind farm SCADA data
Zhaohua Liu, Chang-Tong Wang, Hua‐Liang Wei, et al.
Expert Systems with Applications (2024) Vol. 247, pp. 123237-123237
Closed Access | Times Cited: 18
Wind power forecasting system with data enhancement and algorithm improvement
Yagang Zhang, Xue Kong, Jingchao Wang, et al.
Renewable and Sustainable Energy Reviews (2024) Vol. 196, pp. 114349-114349
Closed Access | Times Cited: 16
Useful life prediction based on wavelet packet decomposition and two-dimensional convolutional neural network for lithium-ion batteries
Ding Pan, Xiaojuan Liu, Huiqin Li, et al.
Renewable and Sustainable Energy Reviews (2021) Vol. 148, pp. 111287-111287
Closed Access | Times Cited: 101
Review of Deterministic and Probabilistic Wind Power Forecasting: Models, Methods, and Future Research
Ioannis K. Bazionis, Pavlos S. Georgilakis
Electricity (2021) Vol. 2, Iss. 1, pp. 13-47
Open Access | Times Cited: 72
An advanced short-term wind power forecasting framework based on the optimized deep neural network models
Seyed Mohammad Jafar Jalali, Sajad Ahmadian, Mahdi Khodayar, et al.
International Journal of Electrical Power & Energy Systems (2022) Vol. 141, pp. 108143-108143
Closed Access | Times Cited: 57
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
An ensemble method for short-term wind power prediction considering error correction strategy
Lin Ye, Binhua Dai, Zhuo Li, et al.
Applied Energy (2022) Vol. 322, pp. 119475-119475
Closed Access | Times Cited: 49
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
A Spatiotemporal Directed Graph Convolution Network for Ultra-Short-Term Wind Power Prediction
Zhuo Li, Lin Ye, Yongning Zhao, et al.
IEEE Transactions on Sustainable Energy (2022) Vol. 14, Iss. 1, pp. 39-54
Closed Access | Times Cited: 40
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: 38
Nonparametric Probabilistic Forecasting for Wind Power Generation Using Quadratic Spline Quantile Function and Autoregressive Recurrent Neural Network
Ke Wang, Yao Zhang, Lin Fan, et al.
IEEE Transactions on Sustainable Energy (2022) Vol. 13, Iss. 4, pp. 1930-1943
Closed Access | Times Cited: 37
Short-Term Wind Speed and Power Forecasting for Smart City Power Grid With a Hybrid Machine Learning Framework
Zhongju Wang, Long Wang, M. Revanesh, et al.
IEEE Internet of Things Journal (2023) Vol. 10, Iss. 21, pp. 18754-18765
Closed Access | Times Cited: 28
Optimal economic programming of an energy hub in the power system while taking into account the uncertainty of renewable resources, risk-taking and electric vehicles using a developed routing method
Tairan Zhang, Behrouz Sobhani
Energy (2023) Vol. 271, pp. 126938-126938
Closed Access | Times Cited: 24
Renewable energy effects on energy management based on demand response in microgrids environment
Zhongzhen Yan, Xinyuan Zhu, Yi-Ming Chang, et al.
Renewable Energy (2023) Vol. 213, pp. 205-217
Closed Access | Times Cited: 21
Optimal management of microgrid energy by considering demand side management plan and maintenance cost with developed particle swarm algorithm
Hua Sun, Xuan Cui, Hassan Latifi
Electric Power Systems Research (2024) Vol. 231, pp. 110312-110312
Closed Access | Times Cited: 11
Optimizing solar-wind hybrid energy systems for sustainable charging stations and commercial applications: A two-stage framework with ebola-inspired optimization
Guiyan Zhu, Guogang Yan, Davoud Garmroudi
Expert Systems with Applications (2024) Vol. 246, pp. 123180-123180
Closed Access | Times Cited: 10
From Halley to Secant: Redefining root finding with memory‐based methods including convergence and stability
Sania Qureshi, Amanullah Soomro, Amir Naseem, et al.
Mathematical Methods in the Applied Sciences (2024) Vol. 47, Iss. 7, pp. 5509-5531
Closed Access | Times Cited: 10
Ultra-Short-Term Offshore Wind Power Prediction Based on PCA-SSA-VMD and BiLSTM
Zhen Wang, Y. Ying, Lei Kou, et al.
Sensors (2024) Vol. 24, Iss. 2, pp. 444-444
Open Access | Times Cited: 9
A novel probabilistic short-term wind energy forecasting model based on an improved kernel density estimation
Jiansheng Guan, Jie Lin, JianJie Guan, et al.
International Journal of Hydrogen Energy (2020) Vol. 45, Iss. 43, pp. 23791-23808
Closed Access | Times Cited: 63
Short-term wind speed forecasting system based on multivariate time series and multi-objective optimization
Zhihao Shang, Zhaoshuang He, Yao Chen, et al.
Energy (2021) Vol. 238, pp. 122024-122024
Closed Access | Times Cited: 52
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