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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:

Current status of hybrid structures in wind forecasting
Mehrnaz Ahmadi, Mehdi Khashei
Engineering Applications of Artificial Intelligence (2020) Vol. 99, pp. 104133-104133
Closed Access | Times Cited: 54

Showing 1-25 of 54 citing articles:

Efficient bootstrap stacking ensemble learning model applied to wind power generation forecasting
Matheus Henrique Dal Molin Ribeiro, Ramon Gomes da Silva, Sinvaldo Rodrigues Moreno, et al.
International Journal of Electrical Power & Energy Systems (2021) Vol. 136, pp. 107712-107712
Closed Access | Times Cited: 121
Boosted ANFIS model using augmented marine predator algorithm with mutation operators for wind power forecasting
Mohammed A. A. Al‐qaness, Ahmed A. Ewees, Hong Fan, et al.
Applied Energy (2022) Vol. 314, pp. 118851-118851
Closed Access | Times Cited: 103
Multi-step short-term wind speed forecasting based on multi-stage decomposition coupled with stacking-ensemble learning approach
Ramon Gomes da Silva, Sinvaldo Rodrigues Moreno, Matheus Henrique Dal Molin Ribeiro, et al.
International Journal of Electrical Power & Energy Systems (2022) Vol. 143, pp. 108504-108504
Closed Access | Times Cited: 73
Learning based short term wind speed forecasting models for smart grid applications: An extensive review and case study
Vikash Kumar Saini, Rajesh Kumar, Ameena Saad Al‐Sumaiti, et al.
Electric Power Systems Research (2023) Vol. 222, pp. 109502-109502
Closed Access | Times Cited: 43
A short-term wind power forecasting method based on multivariate signal decomposition and variable selection
Ting Yang, Zhenning Yang, Fei Li, et al.
Applied Energy (2024) Vol. 360, pp. 122759-122759
Closed Access | Times Cited: 26
Variational mode decomposition and bagging extreme learning machine with multi-objective optimization for wind power forecasting
Matheus Henrique Dal Molin Ribeiro, Ramon Gomes da Silva, Sinvaldo Rodrigues Moreno, et al.
Applied Intelligence (2024) Vol. 54, Iss. 4, pp. 3119-3134
Closed Access | Times Cited: 23
A short-term power prediction method based on numerical weather prediction correction and the fusion of adaptive spatiotemporal graph feature information for wind farm cluster
Mao Yang, Chao Han, Wei Zhang, et al.
Expert Systems with Applications (2025) Vol. 274, pp. 126979-126979
Closed Access | Times Cited: 2
Ensemble wind speed forecasting with multi-objective Archimedes optimization algorithm and sub-model selection
Lifang Zhang, Jianzhou Wang, Xinsong Niu, et al.
Applied Energy (2021) Vol. 301, pp. 117449-117449
Closed Access | Times Cited: 92
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
Combining a deep learning model with multivariate empirical mode decomposition for hourly global horizontal irradiance forecasting
Priya Gupta, Rhythm Singh
Renewable Energy (2023) Vol. 206, pp. 908-927
Closed Access | Times Cited: 31
Matrix-based wavelet transformation embedded in recurrent neural networks for wind speed prediction
Chuanjin Yu, Yongle Li, Qian Chen, et al.
Applied Energy (2022) Vol. 324, pp. 119692-119692
Closed Access | Times Cited: 34
Machine Learning and Game-Theoretic Model for Advanced Wind Energy Management Protocol (AWEMP)
Imed Khabbouchi, Dhaou Said, Aziz Oukaira, et al.
Energies (2023) Vol. 16, Iss. 5, pp. 2179-2179
Open Access | Times Cited: 17
Wind speed and wind power forecasting models
M. Lydia, G. Edwin Prem Kumar, R. Akash
Energy & Environment (2024)
Closed Access | Times Cited: 7
State-of-the-Art Using Bibliometric Analysis of Wind-Speed and -Power Forecasting Methods Applied in Power Systems
Ana Catarina Lagos, Joaquín E. Caicedo, Gustavo Coria, et al.
Energies (2022) Vol. 15, Iss. 18, pp. 6545-6545
Open Access | Times Cited: 26
Hybrid wind speed prediction framework using data pre-processing strategy based autoencoder network
Vishalteja Kosana, Kiran Teeparthi, Santhosh Madasthu
Electric Power Systems Research (2022) Vol. 206, pp. 107821-107821
Closed Access | Times Cited: 23
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
Physics-guided Bayesian neural networks by ABC-SS: Application to reinforced concrete columns
Juan Fernández, Juan Chiachío, Manuel Chiachío, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 119, pp. 105790-105790
Open Access | Times Cited: 15
Wind speed forecasting using deep learning and preprocessing techniques
E. EL-DEEN Ammar, George Xydis
International Journal of Green Energy (2023) Vol. 21, Iss. 5, pp. 988-1016
Closed Access | Times Cited: 13
Deep Learning for Wind and Solar Energy Forecasting in Hydrogen Production
Artūrs Ņikuļins, Kaspars Sudars, Edgars Edelmers, et al.
Energies (2024) Vol. 17, Iss. 5, pp. 1053-1053
Open Access | Times Cited: 5
Optimization of horizontal axis wind turbine performance with the dimpled blades by using CNN and MLP models
Ahmad Abbaskhah, Hamed Sedighi, Pooria Akbarzadeh, et al.
Ocean Engineering (2023) Vol. 276, pp. 114185-114185
Closed Access | Times Cited: 12
Optimized short-term wind power forecasting based on a combination feature selection and greater cane rat algorithm
Chunsheng Hu, Haowei Gong, Hao Li, et al.
Wind Engineering (2025)
Closed Access
A Data Distribution-Based Ensemble Generation Applied to Wind Speed Forecasting
Diogo M. Almeida, Paulo S. G. de Mattos Neto, Daniel C. Cunha
Lecture notes in computer science (2025), pp. 17-32
Closed Access
Forecasting of Tropical Storm Wind Speeds Based on Multi-Step Differencing and Artificial Neural Network
Tianyou Tao, Peng Deng, Fan Xu, et al.
Journal of Marine Science and Engineering (2025) Vol. 13, Iss. 2, pp. 372-372
Open Access
Improving the forecast of wind speed and significant wave height using neural networks and gradient boosting trees
Mariana Ré Henriques, Dina Silva, Ivan Yanchin, et al.
Ocean Engineering (2025) Vol. 327, pp. 120925-120925
Open Access
A novel multi-modal analysis model with Baidu Search Index for subway passenger flow forecasting
Kun Jin, Shaolong Sun, Hongtao Li, et al.
Engineering Applications of Artificial Intelligence (2021) Vol. 107, pp. 104518-104518
Closed Access | Times Cited: 26
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