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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:

A review of short‐term wind power probabilistic forecasting and a taxonomy focused on input data
Ioannis K. Bazionis, Panagiotis A. Karafotis, Pavlos S. Georgilakis
IET Renewable Power Generation (2021) Vol. 16, Iss. 1, pp. 77-91
Closed Access | Times Cited: 22

Showing 22 citing articles:

Integrated model for optimal energy management and demand response of microgrids considering hybrid hydrogen-battery storage systems
Dalia Yousri, Hany E. Z. Farag, Hatem Zeineldin, et al.
Energy Conversion and Management (2023) Vol. 280, pp. 116809-116809
Closed Access | Times Cited: 89
A Review of Modern Wind Power Generation Forecasting Technologies
Wen-Chang Tsai, Chih-Ming Hong, Chia‐Sheng Tu, et al.
Sustainability (2023) Vol. 15, Iss. 14, pp. 10757-10757
Open Access | Times Cited: 23
Two-stage short-term wind power probabilistic prediction using natural gradient boosting combined with neural network
Siyi Zhang, Mingbo Liu, Min Xie, et al.
Applied Soft Computing (2024) Vol. 159, pp. 111669-111669
Closed Access | Times Cited: 7
A Review of Modern Wind Power Generation Forecasting Technologies
Wen-Chang Tsai, Chih-Ming Hong, Whei-Min Lin, et al.
(2023)
Open Access | Times Cited: 13
Probabilistic Indoor Temperature Forecasting: A New Approach Using Bernstein-Polynomial Normalizing Flows
Marcel Arpogaus, Roman Kempf, Tim Baur, et al.
Energy and Buildings (2025), pp. 115527-115527
Open Access
Multiobjective home energy management systems in nearly-zero energy buildings under uncertainties considering vehicle-to-home: A novel lexicographic-based stochastic-information gap decision theory approach
Marcos Tostado‐Véliz, Hany M. Hasanien, Salah Kamel, et al.
Electric Power Systems Research (2022) Vol. 214, pp. 108946-108946
Closed Access | Times Cited: 19
Ultra-Short-Term Wind Power Prediction Based on LSTM with Loss Shrinkage Adam
Jingtao Huang, Gang Niu, Haiping Guan, et al.
Energies (2023) Vol. 16, Iss. 9, pp. 3789-3789
Open Access | Times Cited: 12
Enhancing short-term wind power forecasting accuracy for reliable and safe integration into power systems: A gray relational analysis and optimized support vector regression machine approach
Yuwei Liu, Lingling Li, Jiaqi Liu
Journal of Renewable and Sustainable Energy (2024) Vol. 16, Iss. 1
Open Access | Times Cited: 4
A taxonomy of short‐term solar power forecasting: Classifications focused on climatic conditions and input data
Ioannis K. Bazionis, Markos A. Kousounadis‐Knousen, Pavlos S. Georgilakis, et al.
IET Renewable Power Generation (2023) Vol. 17, Iss. 9, pp. 2411-2432
Open Access | Times Cited: 10
A Survey of Artificial Intelligence Applications in Wind Energy Forecasting
Poonam Dhaka, Mini Sreejeth, M. M. Tripathi
Archives of Computational Methods in Engineering (2024)
Closed Access | Times Cited: 3
Applications of Probabilistic Forecasting in Smart Grids: A Review
Hosna Khajeh, Hannu Laaksonen
Applied Sciences (2022) Vol. 12, Iss. 4, pp. 1823-1823
Open Access | Times Cited: 14
Probabilistic machine learning aided transformer lifetime prediction framework for wind energy systems
Jose Ignacio Aizpurua, Rafael Peña‐Alzola, Jon Olano, et al.
International Journal of Electrical Power & Energy Systems (2023) Vol. 153, pp. 109352-109352
Open Access | Times Cited: 8
Adversarial false data injection attacks on deep learning‐based short‐term wind speed forecasting
Lei Yang, Gaoshen Liang, Yanrong Yang, et al.
IET Renewable Power Generation (2023) Vol. 18, Iss. 7, pp. 1370-1379
Open Access | Times Cited: 7
An Advanced Hybrid Boot-LSTM-ICSO-PP Approach for Day-Ahead Probabilistic PV Power Yield Forecasting and Intra-Hour Power Fluctuation Estimation
Ioannis K. Bazionis, Markos A. Kousounadis‐Knousen, Vasileios E. Katsigiannis, et al.
IEEE Access (2024) Vol. 12, pp. 43704-43720
Open Access | Times Cited: 2
Efficient framework for energy management of microgrid installed in Aljouf region considering renewable energy and electric vehicles
Ahmed Fathy
Energy Conversion and Management (2024) Vol. 323, pp. 119212-119212
Closed Access | Times Cited: 1
Daily Variation and Regional Differences in Wind Power Output during Heat and Cold Wave Days in China
Yang Liu, Jie Bai
International Transactions on Electrical Energy Systems (2023) Vol. 2023, pp. 1-17
Open Access | Times Cited: 4
Relative evaluation of probabilistic methods for spatio-temporal wind forecasting
Lars Ødegaard Bentsen, Narada Dilp Warakagoda, Roy Stenbro, et al.
Journal of Cleaner Production (2023) Vol. 434, pp. 139944-139944
Open Access | Times Cited: 3
Forecasting Wind and Solar Energy Production in the Greek Power System using ANN Models
Georgios Fotis, Nenad Šijaković, Mileta Žarković, et al.
WSEAS TRANSACTIONS ON POWER SYSTEMS (2023) Vol. 18, pp. 373-391
Open Access | Times Cited: 3
Control of doubly fed induction generator for power quality improvement: an overview
Karthik Tamvada, Rohit Babu
International Journal of Systems Assurance Engineering and Management (2022) Vol. 13, Iss. 6, pp. 2809-2832
Closed Access | Times Cited: 5
A Novel Ameliorated Moth Swarm Algorithm for Optimization of Hybrid Power System Incorporating FACTS Controllers
Dhiman Banerjee, Provas Kumar Roy, Goutam Kumar Panda
IETE Journal of Research (2023) Vol. 70, Iss. 5, pp. 4640-4673
Closed Access | Times Cited: 2
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
Two-Stage Short-Term Wind Power Probabilistic Prediction Using Natural Gradient Boosting Combined with Neural Network
Siyi Zhang, Mingbo Liu, Min Xie, et al.
(2023)
Closed Access
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