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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 novel few-shot learning approach for wind power prediction applying secondary evolutionary generative adversarial network
Anbo Meng, Shu Chen, Zuhong Ou, et al.
Energy (2022) Vol. 261, pp. 125276-125276
Closed Access | Times Cited: 35

Showing 1-25 of 35 citing articles:

Wind Power Forecasting in the presence of data scarcity: A very short-term conditional probabilistic modeling framework
Sen Wang, Wenjie Zhang, Yonghui Sun, et al.
Energy (2024) Vol. 291, pp. 130305-130305
Closed Access | Times Cited: 18
Spatiotemporal wind power forecasting approach based on multi-factor extraction method and an indirect strategy
Shaolong Sun, Zongjuan Du, Kun Jin, et al.
Applied Energy (2023) Vol. 350, pp. 121749-121749
Closed Access | Times Cited: 34
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: 26
A novel meta-learning approach for few-shot short-term wind power forecasting
Fuhao Chen, Jie Yan, Yongqian Liu, et al.
Applied Energy (2024) Vol. 362, pp. 122838-122838
Closed Access | Times Cited: 13
A novel deep learning-based evolutionary model with potential attention and memory decay-enhancement strategy for short-term wind power point-interval forecasting
Zhi-Feng Liu, You-Yuan Liu, Xiaorui Chen, et al.
Applied Energy (2024) Vol. 360, pp. 122785-122785
Closed Access | Times Cited: 7
A novel network training approach for solving sample imbalance problem in wind power prediction
Anbo Meng, Zikang Xian, Hao Yin, et al.
Energy Conversion and Management (2023) Vol. 283, pp. 116935-116935
Closed Access | Times Cited: 16
A novel multi-gradient evolutionary deep learning approach for few-shot wind power prediction using time-series GAN
Anbo Meng, Hai‐Tao Zhang, Hao Yin, et al.
Energy (2023) Vol. 283, pp. 129139-129139
Closed Access | Times Cited: 15
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
Carbon emissions trading price forecasting based on temporal-spatial multidimensional collaborative attention network and segment imbalance regression
Hao Yin, Yiding Yin, Hanhong Li, et al.
Applied Energy (2024) Vol. 377, pp. 124357-124357
Closed Access | Times Cited: 5
Wind turbine output power prediction and optimization based on a novel adaptive neuro-fuzzy inference system with the moving window
Boudy Bilal, Kondo H. Adjallah, Alexandre Sava, et al.
Energy (2022) Vol. 263, pp. 126159-126159
Closed Access | Times Cited: 20
Bayesian averaging-enabled transfer learning method for probabilistic wind power forecasting of newly built wind farms
Jiaxiang Hu, Weihao Hu, Di Cao, et al.
Applied Energy (2023) Vol. 355, pp. 122185-122185
Closed Access | Times Cited: 11
Market-Level Integrated Detection Against Cyber Attacks in Real-Time Market Operations by Self-Supervised Learning
Zhongjian Zhang, Shengrong Bu, Yanru Zhang, et al.
IEEE Transactions on Smart Grid (2024) Vol. 15, Iss. 4, pp. 4128-4142
Closed Access | Times Cited: 4
Prediction Method for Carbon Emission of Hobbing Based on Cross-Process Data Fusion
Qian Yi, Yusong Luo, Chunhui Hu, et al.
Chinese Journal of Mechanical Engineering (2025) Vol. 38, Iss. 1
Open Access
Developing a robust wind power forecasting method: Integrating data repair, feature screening, and economic impact analysis for practical applications
Xuefeng Liang, Zetian Hu, Jun Zhang, et al.
Renewable Energy (2025), pp. 122775-122775
Closed Access
Few-Shot Learning for Triplet-Based EV Energy Consumption Estimation
Alminas Čivilis, Linas Petkevičius, Simonas Šaltenis, et al.
Applied Artificial Intelligence (2025) Vol. 39, Iss. 1
Open Access
A photovoltaic power forecasting framework based on Attention mechanism and parallel prediction architecture
Zhengda Zhou, Yeming Dai, Mingming Leng
Applied Energy (2025) Vol. 391, pp. 125869-125869
Closed Access
The Elitist Non-Dominated Sorting Crisscross Algorithm (Elitist NSCA): Crisscross-Based Multi-Objective Neural Architecture Search
Zhihui Chen, Ting Lan, Dan He, et al.
Mathematics (2025) Vol. 13, Iss. 8, pp. 1258-1258
Open Access
Physics-informed reinforcement learning for probabilistic wind power forecasting under extreme events
Yanli Liu, Junyi Wang, L. Liu
Applied Energy (2024) Vol. 376, pp. 124068-124068
Closed Access | Times Cited: 3
Transferable wind power probabilistic forecasting based on multi-domain adversarial networks
Xiaochong Dong, Yingyun Sun, Lei Dong, et al.
Energy (2023) Vol. 285, pp. 129496-129496
Closed Access | Times Cited: 8
Unbalanced regression sample generation algorithm based on confrontation
Huixin Tian, Chunzhi Tian, Kun Li, et al.
Information Sciences (2023) Vol. 642, pp. 119157-119157
Closed Access | Times Cited: 7
Graph attention-based U-net conditional generative adversarial networks for the identification of synchronous generation unit parameters
Linfei Yin, Wanqiong Zhao
Engineering Applications of Artificial Intelligence (2023) Vol. 126, pp. 106896-106896
Closed Access | Times Cited: 4
Few-shot learning-based human behavior recognition model
V. Mahalakshmi, Mukta Sandhu, Mohammad Shabaz, et al.
Computers in Human Behavior (2023) Vol. 151, pp. 108038-108038
Closed Access | Times Cited: 4
Analyzing the Resilience of Active Distribution Networks to Hazardous Weather Considering Cyber-Physical Interdependencies
Zhiyi Li, Xutao Han, Mohammad Shahidehpour, et al.
Engineering (2024)
Open Access | Times Cited: 1
An Image Generation Method of Unbalanced Ship Coating Defects Based on IGASEN-EMWGAN
Henan Bu, Changzhou Hu, Xin Yuan, et al.
Coatings (2023) Vol. 13, Iss. 3, pp. 620-620
Open Access | Times Cited: 3
Investigation of hybrid adversarial-diffusion sample generation method of substations in district heating system
Zheng Luo, Xiaojie Lin, Tianyue Qiu, et al.
Energy (2023) Vol. 288, pp. 129731-129731
Closed Access | Times Cited: 2
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