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:
An effective hybrid wind power forecasting model based on "decomposition-reconstruction-ensemble" strategy and wind resource matching
Yi Xiao, Sheng Wu, Chen He, et al.
Sustainable Energy Grids and Networks (2024) Vol. 38, pp. 101293-101293
Closed Access | Times Cited: 6
Yi Xiao, Sheng Wu, Chen He, et al.
Sustainable Energy Grids and Networks (2024) Vol. 38, pp. 101293-101293
Closed Access | Times Cited: 6
Showing 6 citing articles:
Wind speed forecasting using a combined deep learning model with slime mould optimization
K. Natarajan, Jai Govind Singh
International Journal of Green Energy (2025), pp. 1-22
Closed Access
K. Natarajan, Jai Govind Singh
International Journal of Green Energy (2025), pp. 1-22
Closed Access
Proactive failure warning for wind power forecast models based on volatility indicators analysis
Yunxiao Chen, Chaojing Lin, Yilan Zhang, et al.
Energy (2024) Vol. 305, pp. 132310-132310
Closed Access | Times Cited: 2
Yunxiao Chen, Chaojing Lin, Yilan Zhang, et al.
Energy (2024) Vol. 305, pp. 132310-132310
Closed Access | Times Cited: 2
Attack-resilient framework for wind power forecasting against civil and adversarial attacks
Khadija Akter, M. A. Rahman, Md. Rashidul Islam, et al.
Electric Power Systems Research (2024) Vol. 238, pp. 111065-111065
Closed Access | Times Cited: 2
Khadija Akter, M. A. Rahman, Md. Rashidul Islam, et al.
Electric Power Systems Research (2024) Vol. 238, pp. 111065-111065
Closed Access | Times Cited: 2
Fully connected multi-reservoir echo state networks for wind power prediction
Xianshuang Yao, Kangshuai Guo, Jianlin Lei, et al.
Energy (2024), pp. 133579-133579
Closed Access | Times Cited: 2
Xianshuang Yao, Kangshuai Guo, Jianlin Lei, et al.
Energy (2024), pp. 133579-133579
Closed Access | Times Cited: 2
Dynamic Gust Detection and Conditional Sequence Modeling for Ultra-Short-Term Wind Speed Prediction
Liwan Zhou, Di Zhang, Le Zhang, et al.
Electronics (2024) Vol. 13, Iss. 22, pp. 4513-4513
Open Access | Times Cited: 1
Liwan Zhou, Di Zhang, Le Zhang, et al.
Electronics (2024) Vol. 13, Iss. 22, pp. 4513-4513
Open Access | Times Cited: 1
Adaptive expert fusion model for online wind power prediction
Renfang Wang, Jingtong Wu, Xu Cheng, et al.
Neural Networks (2024) Vol. 184, pp. 107022-107022
Open Access | Times Cited: 1
Renfang Wang, Jingtong Wu, Xu Cheng, et al.
Neural Networks (2024) Vol. 184, pp. 107022-107022
Open Access | Times Cited: 1
