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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:

Prediction of Wind Power with Machine Learning Models
Ömer Ali Karaman
Applied Sciences (2023) Vol. 13, Iss. 20, pp. 11455-11455
Open Access | Times Cited: 27

Showing 1-25 of 27 citing articles:

Extreme weather events on energy systems: a comprehensive review on impacts, mitigation, and adaptation measures
Ana Gonçalves, X. Costoya, Raquel Nieto, et al.
Sustainable Energy Research (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 24
A Comprehensive Review of Wind Power Prediction Based on Machine Learning: Models, Applications, and Challenges
Zongxu Liu, Hui Guo, Y. Zhang, et al.
Energies (2025) Vol. 18, Iss. 2, pp. 350-350
Open Access | Times Cited: 1
Enhancing wind power prediction with self-attentive variational autoencoders: A comparative study
Fouzi Harrou, Abdelkader Dairi, Abdelhakim Dorbane, et al.
Results in Engineering (2024) Vol. 23, pp. 102504-102504
Open Access | Times Cited: 8
The Role of Utilizing Artificial Intelligence and Renewable Energy in Reaching Sustainable Development Goals
Fatma M. Talaat, A.E. Kabeel, Warda M. Shaban
Renewable Energy (2024) Vol. 235, pp. 121311-121311
Closed Access | Times Cited: 7
Evaluating Machine Learning and Deep Learning models for predicting Wind Turbine power output from environmental factors
Montaser Abdelsattar, Mohamed A. Ismeil, Karim Menoufi, et al.
PLoS ONE (2025) Vol. 20, Iss. 1, pp. e0317619-e0317619
Open Access
Predictive Wind Turbine Power Analysis Based on SCADA Data and Machine Learning Algorithms
Zouhir Iourzikene, Fawzi Gougam, Djamel Benazzouz
Lecture notes in networks and systems (2025), pp. 32-42
Closed Access
Ultra short-term wind power prediction based on an improved temporal convolutional network
Xin Zheng, Weicheng Chi, Hanyuan Zhang, et al.
International Journal of Green Energy (2025), pp. 1-21
Closed Access
Instantaneous Electricity Peak Load Forecasting Using Optimization and Machine Learning
Mustafa Saglam, Xiaojing Lv, Catalina Spataru, et al.
Energies (2024) Vol. 17, Iss. 4, pp. 777-777
Open Access | Times Cited: 4
A new short-term wind power prediction methodology based on linear and nonlinear hybrid models
Xixuan Zhao, Bingzhen Sun, Ning Wu, et al.
Computers & Industrial Engineering (2024) Vol. 196, pp. 110477-110477
Closed Access | Times Cited: 3
Machine learning approaches in predicting the wind power output and turbine rotational speed in a wind farm
Akın İlhan, Sergen Tümse, Mehmet Bilgili, et al.
Energy Sources Part A Recovery Utilization and Environmental Effects (2024) Vol. 46, Iss. 1, pp. 12084-12110
Closed Access | Times Cited: 3
Experimental Study of an Industrial Data Transmission Network in the Automatic Control System of a Wind Turbine
Аlina Fazylova, Baurzhan Tultayev, Teodor Iliev, et al.
Machines (2024) Vol. 12, Iss. 11, pp. 746-746
Open Access | Times Cited: 2
Prediction of Losses Due to Dust in PV Using Hybrid LSTM-KNN Algorithm: The Case of Saruhanlı
Tuba Tanyıldızı Ağır
Sustainability (2024) Vol. 16, Iss. 9, pp. 3581-3581
Open Access | Times Cited: 1
A Heat Load Prediction Method for District Heating Systems Based on the AE-GWO-GRU Model
Yu Yang, Junwei Yan, Xuan Zhou
Applied Sciences (2024) Vol. 14, Iss. 13, pp. 5446-5446
Open Access | Times Cited: 1
Wind Power Forecasting Using LSTM-Grid Search
Mrinmoy Singha, Chandan Mahato, Chandransh Singh, et al.
(2024), pp. 1-6
Closed Access | Times Cited: 1
Short-Term Wind Power Prediction Based on Feature-Weighted and Combined Models
Deyang Yin, Lei Zhao, Kai Zhai, et al.
Applied Sciences (2024) Vol. 14, Iss. 17, pp. 7698-7698
Open Access | Times Cited: 1
A novel analysis of random forest regression model for wind speed forecasting
J Sathyaraj, V. Sankardoss
Cogent Engineering (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 1
Enhancing Long-Term Wind Power Forecasting by Using an Intelligent Statistical Treatment for Wind Resource Data
Mónica Borunda, Adrián Ramírez, Raul Garduño, et al.
Energies (2023) Vol. 16, Iss. 23, pp. 7915-7915
Open Access | Times Cited: 3
RNN-Based Time Series Analysis for Wind Turbine Energy Forecasting
Selahattin Barış ÇELEBİ, Şehmus Fidan
International Journal of Engineering and Innovative Research (2023) Vol. 6, Iss. 1, pp. 15-28
Open Access | Times Cited: 2
Enhancing Wind Energy Predictions: A Deep Neural Network Approach to Optimizing Production and Maintenance
Carlos Quiterio Gómez Muñoz, Javier Sanchez Soriano, Pedro Jose Paniagua Falo
(2024)
Closed Access
Assessment of power curve performance of wind turbines in Adama-II Wind Farm
Abeba Debru Teshome, Mulu Bayray Kahsay, Maria Marta Molinas Cabrera
Energy Reports (2024) Vol. 12, pp. 2209-2223
Open Access
The Integration of Internet of Things and Machine Learning for Energy Prediction of Wind Turbines
Christos Emexidis, Panagiotis K. Gkonis
Applied Sciences (2024) Vol. 14, Iss. 22, pp. 10276-10276
Open Access
A Novel Multi-Objective Hybrid Evolutionary-Based Approach for Tuning Machine Learning Models in Short-Term Power Consumption Forecasting
Aleksei Vakhnin, Ivan Ryzhikov, Harri Niska, et al.
AI (2024) Vol. 5, Iss. 4, pp. 2461-2496
Open Access
Performance analysis of machine learning algorithms for hybrid power generation prediction
Gencay Sarıışık, Ahmet Sabri Öğütlü
Neural Computing and Applications (2024) Vol. 37, Iss. 5, pp. 3203-3225
Closed Access
Bagging ensemble of artificial neural networks with weighted averaging and grey wolf optimization for solar photovoltaic power generation prediction
Chockalingam Alagappan, Karthikeyan Ramasamy, Durgadevi Velusamy
International Journal of Green Energy (2024), pp. 1-15
Closed Access
A Comprehensive Review of Artificial Intelligence Applications in Wind Energy Power Generation
Pooya Moshtaghi, Najmeh Hajialigol, Behnam Rafiei
(2024)
Closed Access
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