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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:

Wind power prediction based on PSO-Kalman
Daoqing Li, Xiaodong Yu, Shulin Liu, et al.
Energy Reports (2022) Vol. 8, pp. 958-968
Open Access | Times Cited: 18

Showing 18 citing articles:

An overview of deterministic and probabilistic forecasting methods of wind energy
Yuying Xie, Chaoshun Li, Mengying Li, et al.
iScience (2022) Vol. 26, Iss. 1, pp. 105804-105804
Open Access | Times Cited: 40
SCADA system dataset exploration and machine learning based forecast for wind turbines
Upma Singh, M. Rizwan
Results in Engineering (2022) Vol. 16, pp. 100640-100640
Closed Access | Times Cited: 39
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: 37
Power prediction considering NWP wind speed error tolerability: A strategy to improve the accuracy of short-term wind power prediction under wind speed offset scenarios
Mao Yang, Yunfeng Guo, Tao Huang, et al.
Applied Energy (2024) Vol. 377, pp. 124720-124720
Closed Access | Times Cited: 6
A novel multi-gradient evolutionary deep learning approach for few-shot wind power prediction using time-series GAN
Anbo Meng, Hai‐Tao Zhang, Hao Yin, et al.
Energy (2023) Vol. 283, pp. 129139-129139
Closed Access | Times Cited: 14
The ultra-short-term wind power point-interval forecasting model based on improved variational mode decomposition and bidirectional gated recurrent unit improved by improved sparrow search algorithm and attention mechanism
Xiwen Cui, Xiaoyu Yu, Dongxiao Niu
Energy (2023) Vol. 288, pp. 129714-129714
Closed Access | Times Cited: 14
Two-stage correction prediction of wind power based on numerical weather prediction wind speed superposition correction and improved clustering
Mao Yang, Yunfeng Guo, Fulin Fan, et al.
Energy (2024) Vol. 302, pp. 131797-131797
Closed Access | Times Cited: 2
ForecastNet Wind Power Prediction Based on Spatio-Temporal Distribution
Shurong Peng, Lijuan Guo, Haoyu Huang, et al.
Applied Sciences (2024) Vol. 14, Iss. 2, pp. 937-937
Open Access | Times Cited: 1
Hybrid neural network wind speed prediction based on two-level decomposition and weighted averaging
Qi Bi, Yulong Bai, Zaihong Hou, et al.
Earth Science Informatics (2024) Vol. 17, Iss. 5, pp. 4213-4232
Closed Access | Times Cited: 1
Super short term combined power prediction for wind power hydrogen production
Yuyang Zhao, Haiyun Song, Yingjun Guo, et al.
Energy Reports (2022) Vol. 8, pp. 1387-1395
Open Access | Times Cited: 8
A voltage control method for distribution networks based on TCN and MPGA under cloud edge collaborative architecture
Rongrong Shan, Zhenyu Ma, Hongyu Lu
Measurement Sensors (2023) Vol. 31, pp. 100969-100969
Open Access | Times Cited: 3
Hybrid Neural Network Wind Speed Prediction Based on Secondary Decomposition and Weighted Averaging
Qi Bi, Yulong Bai, Zaihong Hou, et al.
Research Square (Research Square) (2024)
Open Access
Prediction of device performance in SnO2 based inverted organic solar cells using Machine learning framework
Nadhirah Aidil Zulkafli, Caceja Elyca Anak Bundak, Mohd Amiruddin Abd Rahman, et al.
Solar Energy (2024) Vol. 278, pp. 112795-112795
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
Research on Fault Prediction Technology Based on Improved LSTM Neural Network
Hua Qin, Xinyi Jiang, Junlai Song, et al.
(2023) Vol. 2021214, pp. 74-78
Closed Access | Times Cited: 1
Classification Method of Photovoltaic Array Operating State Based on Nonparametric Estimation and 3σ Method
Qiang Tong, Donghui Li, Xin Ren, et al.
Sustainability (2023) Vol. 15, Iss. 10, pp. 7769-7769
Open Access
Application of WOA-Based LSSVM Model for Wind Speed Prediction in Mianyang, China
Yiqi Yang, Longfeng Zhang, Xin He
Journal of Energy Research and Reviews (2023) Vol. 14, Iss. 3, pp. 1-8
Open Access
A Novel Multi-Gradients Evolutionary Deep Learning Approach for Solving Few-Shot Problem in Wind Power Prediction Based on Time-Series Generative Adversarial Network
Anbo Meng, Hai‐Tao Zhang, Hao Yin, et al.
(2023)
Closed Access
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