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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:

An overview of performance evaluation metrics for short-term statistical wind power forecasting
Juan Manuel González Sopeña, Vikram Pakrashi, Bidisha Ghosh
Renewable and Sustainable Energy Reviews (2020) Vol. 138, pp. 110515-110515
Open Access | Times Cited: 123

Showing 1-25 of 123 citing articles:

Review of meta-heuristic algorithms for wind power prediction: Methodologies, applications and challenges
Peng Lu, Lin Ye, Yongning Zhao, et al.
Applied Energy (2021) Vol. 301, pp. 117446-117446
Closed Access | Times Cited: 131
Point and interval forecasting of ultra-short-term wind power based on a data-driven method and hybrid deep learning model
Dongxiao Niu, Lijie Sun, Min Yu, et al.
Energy (2022) Vol. 254, pp. 124384-124384
Closed Access | Times Cited: 106
A comprehensive review on deep learning approaches in wind forecasting applications
Zhou Wu, Gan Luo, Zhile Yang, et al.
CAAI Transactions on Intelligence Technology (2022) Vol. 7, Iss. 2, pp. 129-143
Open Access | Times Cited: 93
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: 25
Two-stage Day-ahead Multi-step Prediction of Wind Power Considering Time-series Information Interaction
Mao Yang, Xiangyu Li, Fulin Fan, et al.
Energy (2024) Vol. 312, pp. 133580-133580
Closed Access | Times Cited: 15
Power prediction of a wind farm cluster based on spatiotemporal correlations
Jiaan Zhang, Dong Liu, Zhijun Li, et al.
Applied Energy (2021) Vol. 302, pp. 117568-117568
Closed Access | Times Cited: 73
Wind speed behaviors feather analysis and its utilization on wind speed prediction using 3D-CNN
Xiaoxun Zhu, Ruizhang Liu, Yao Chen, et al.
Energy (2021) Vol. 236, pp. 121523-121523
Closed Access | Times Cited: 56
A Cyber-Secure generalized supermodel for wind power forecasting based on deep federated learning and image processing
Hamed Moayyed, Arash Moradzadeh, Behnam Mohammadi‐Ivatloo, et al.
Energy Conversion and Management (2022) Vol. 267, pp. 115852-115852
Closed Access | Times Cited: 44
Multistep short-term wind power forecasting model based on secondary decomposition, the kernel principal component analysis, an enhanced arithmetic optimization algorithm, and error correction
Guolian Hou, Junjie Wang, Yuzhen Fan
Energy (2023) Vol. 286, pp. 129640-129640
Closed Access | Times Cited: 37
Time-series generative adversarial networks for flood forecasting
Peiyao Weng, Yu Tian, Yingfei Liu, et al.
Journal of Hydrology (2023) Vol. 622, pp. 129702-129702
Closed Access | Times Cited: 23
A review of short-term wind power generation forecasting methods in recent technological trends
Ezgi Arslan Tuncar, Şafak Sağlam, Bülent Oral
Energy Reports (2024) Vol. 12, pp. 197-209
Closed Access | Times Cited: 13
Resiliency of forecasting methods in different application areas of smart grids: A review and future prospects
M. A. Rahman, Md. Rashidul Islam, Md. Alamgir Hossain, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 135, pp. 108785-108785
Closed Access | Times Cited: 8
Carbon-Aware Scheduling of Thermostatically Controlled Loads: A Bilevel DRCC Approach
Yijie Yang, Jian Shi, Dan Wang, et al.
IEEE Transactions on Smart Grid (2025) Vol. 16, Iss. 2, pp. 1233-1247
Closed Access | Times Cited: 1
Probabilistic and deterministic wind speed forecasting based on non-parametric approaches and wind characteristics information
Jiani Heng, Yongmiao Hong, Jianming Hu, et al.
Applied Energy (2021) Vol. 306, pp. 118029-118029
Closed Access | Times Cited: 41
Short-term wind power forecasting and uncertainty analysis based on FCM–WOA–ELM–GMM
Bo Gu, Hao Hu, Jian Zhao, et al.
Energy Reports (2022) Vol. 9, pp. 807-819
Open Access | Times Cited: 32
Optimal maintenance management of offshore wind turbines by minimizing the costs
Alfredo Peinado Gonzalo, Tahar Benmessaoud, Mani Entezami, et al.
Sustainable Energy Technologies and Assessments (2022) Vol. 52, pp. 102230-102230
Open Access | Times Cited: 28
Short-term power load probability density forecasting based on GLRQ-Stacking ensemble learning method
Yaoyao He, Jingling Xiao, Xueli An, et al.
International Journal of Electrical Power & Energy Systems (2022) Vol. 142, pp. 108243-108243
Closed Access | Times Cited: 28
Temporal collaborative attention for wind power forecasting
Yue Hu, Hanjing Liu, Senzhen Wu, et al.
Applied Energy (2023) Vol. 357, pp. 122502-122502
Open Access | Times Cited: 17
Evaluation Metrics for Wind Power Forecasts: A Comprehensive Review and Statistical Analysis of Errors
P. Piotrowski, Inajara Rutyna, D. Baczyński, et al.
Energies (2022) Vol. 15, Iss. 24, pp. 9657-9657
Open Access | Times Cited: 23
Analysis of wind turbine dataset and machine learning based forecasting in SCADA-system
Upma Singh, M. Rizwan
Journal of Ambient Intelligence and Humanized Computing (2022) Vol. 14, Iss. 6, pp. 8035-8044
Closed Access | Times Cited: 22
DTTM: A deep temporal transfer model for ultra-short-term online wind power forecasting
Mingwei Zhong, Cancheng Xu, Zikang Xian, et al.
Energy (2023) Vol. 286, pp. 129588-129588
Closed Access | Times Cited: 14
Interpretable multi-graph convolution network integrating spatial-temporal attention and dynamic combination for wind power forecasting
Yongning Zhao, Haohan Liao, Shiji Pan, et al.
Expert Systems with Applications (2024) Vol. 255, pp. 124766-124766
Closed Access | Times Cited: 5
A novel adaptively combined model based on induced ordered weighted averaging for wind power forecasting
Peng Lu, Jianbin Yang, Lin Ye, et al.
Renewable Energy (2024) Vol. 226, pp. 120350-120350
Closed Access | Times Cited: 4
Adaptive machine learning for forecasting in wind energy: A dynamic, multi-algorithmic approach for short and long-term predictions
Mutaz AlShafeey, Csaba Csáki
Heliyon (2024) Vol. 10, Iss. 15, pp. e34807-e34807
Open Access | Times Cited: 4
Exploring spatio-temporal dynamics for enhanced wind turbine condition monitoring
Qiucheng Miao, Dandan Wang, Zongji Xia, et al.
Mechanical Systems and Signal Processing (2024) Vol. 223, pp. 111841-111841
Closed Access | Times Cited: 4
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