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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:

Deep non-crossing probabilistic wind speed forecasting with multi-scale features
Runmin Zou, Mengmeng Song, Yun Wang, et al.
Energy Conversion and Management (2022) Vol. 257, pp. 115433-115433
Closed Access | Times Cited: 23

Showing 23 citing articles:

A convolutional Transformer-based truncated Gaussian density network with data denoising for wind speed forecasting
Yun Wang, Houhua Xu, Mengmeng Song, et al.
Applied Energy (2023) Vol. 333, pp. 120601-120601
Closed Access | Times Cited: 62
Attention mechanism is useful in spatio-temporal wind speed prediction: Evidence from China
Chengqing Yu, Guangxi Yan, Chengming Yu, et al.
Applied Soft Computing (2023) Vol. 148, pp. 110864-110864
Closed Access | Times Cited: 25
A novel data-driven deep learning approach for wind turbine power curve modeling
Yun Wang, Xiaocong Duan, Runmin Zou, et al.
Energy (2023) Vol. 270, pp. 126908-126908
Closed Access | Times Cited: 23
Intelligent based hybrid renewable energy resources forecasting and real time power demand management system for resilient energy systems
Mohammad Amir, Zaheeruddin, Ahteshamul Haque
Science Progress (2022) Vol. 105, Iss. 4
Open Access | Times Cited: 37
A deep asymmetric Laplace neural network for deterministic and probabilistic wind power forecasting
Yun Wang, Houhua Xu, Runmin Zou, et al.
Renewable Energy (2022) Vol. 196, pp. 497-517
Closed Access | Times Cited: 35
Wind Energy Harvesting and Conversion Systems: A Technical Review
Sinhara M. H. D. Perera, Ghanim Putrus, Michael Conlon, et al.
Energies (2022) Vol. 15, Iss. 24, pp. 9299-9299
Open Access | Times Cited: 30
A new perspective of wind speed forecasting: Multi-objective and model selection-based ensemble interval-valued wind speed forecasting system
Hao Yan, Xiaodi Wang, Jianzhou Wang, et al.
Energy Conversion and Management (2023) Vol. 299, pp. 117868-117868
Closed Access | Times Cited: 22
Day-Ahead Probabilistic Load Forecasting: A Multi-Information Fusion and Noncrossing Quantiles Method
Yu Huang, Haode Guo, Engang Tian, et al.
IEEE Transactions on Industrial Informatics (2024) Vol. 20, Iss. 8, pp. 10520-10529
Closed Access | Times Cited: 7
Review of several key processes in wind power forecasting: Mathematical formulations, scientific problems, and logical relations
Mao Yang, Y. Huang, Chuanyu Xu, et al.
Applied Energy (2024) Vol. 377, pp. 124631-124631
Closed Access | Times Cited: 7
Non-crossing Quantile Regression Neural Network as a Calibration Tool for Ensemble Weather Forecasts
Mengmeng Song, Dazhi Yang, Sebastian Lerch, et al.
Advances in Atmospheric Sciences (2024) Vol. 41, Iss. 7, pp. 1417-1437
Closed Access | Times Cited: 5
Dynamic non-constraint ensemble model for probabilistic wind power and wind speed forecasting
Yun Wang, Houhua Xu, Runmin Zou, et al.
Renewable and Sustainable Energy Reviews (2024) Vol. 204, pp. 114781-114781
Closed Access | Times Cited: 4
A wind speed point-interval fuzzy forecasting system based on data decomposition and multiobjective optimizer
Yurui Xia, Jianzhou Wang, Ziyuan Zhang, et al.
Applied Soft Computing (2024) Vol. 165, pp. 112084-112084
Closed Access | Times Cited: 4
A point-interval wind speed prediction model based on entropy clustering and hybrid optimization weighted strategy
Jujie Wang, Shuqin Shu, Shulian Xu
Renewable Energy (2025), pp. 122653-122653
Closed Access
Solar irradiance separation with deep learning: An interpretable multi-task and physically constrained model based on individual–interactive features
Mengmeng Song, Dazhi Yang, Bai Liu, et al.
Solar Energy (2025) Vol. 290, pp. 113353-113353
Closed Access
Short-term load probabilistic forecasting based on non-equidistant monotone composite quantile regression and improved MICN
Mingping Liu, Jia-Long Wang, Suhui Deng, et al.
Energy (2025) Vol. 320, pp. 135339-135339
Closed Access
Ensemble probabilistic wind power forecasting with multi-scale features
Yun Wang, Tuo Chen, Runmin Zou, et al.
Renewable Energy (2022) Vol. 201, pp. 734-751
Closed Access | Times Cited: 16
A double‐layer neural network wind speed prediction framework based on training set segmentation and error correction
Mingde Liu, Mingbo Liu, Siyi Zhang, et al.
IET Renewable Power Generation (2024) Vol. 18, Iss. 4, pp. 571-588
Open Access | Times Cited: 1
A machine learning-based probabilistic wind speed prediction model with multi-resolution data, quantile regression and bound estimation
Hui Feng, Wenliang Qian, Shujin Laima
Engineering Structures (2024) Vol. 322, pp. 119098-119098
Closed Access | Times Cited: 1
Forecasting ultra‐short‐term wind power by multiview gated recurrent unit neural network
Bangru Xiong, Mengqin Fu, Qiuting Cai, et al.
Energy Science & Engineering (2022) Vol. 10, Iss. 10, pp. 3972-3986
Open Access | Times Cited: 4
A Novel QR-based Probabilistic Forecasting Method for Solar power Generation
Hsin-Yen Lo, Yuan‐Kang Wu, Wen‐Shan Tan
(2024), pp. 1-7
Closed Access
Ultra-short-term wind speed prediction based on deep spatial-temporal residual network
Xinhao Liang, Feihu Hu, X. Li, et al.
Journal of Renewable and Sustainable Energy (2023) Vol. 15, Iss. 4
Closed Access | Times Cited: 1
Wind Speed Probability Prediction Using a Bayesian Optimization LSTM Quantile Regression Network
Shengli Qi, Tianhong Liu, Chunyu Ren
Lecture notes in electrical engineering (2022), pp. 151-159
Closed Access | Times Cited: 1
Spatiotemporal Wind Speed Forecasting Using Dual-Stream Graph Attention Network and Long Short-Term Memory on Dutch Database
Meng Wang, Juanle Wang, Fei Yang
(2023)
Closed Access
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