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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:

Nonparametric Probabilistic Forecasting for Wind Power Generation Using Quadratic Spline Quantile Function and Autoregressive Recurrent Neural Network
Ke Wang, Yao Zhang, Lin Fan, et al.
IEEE Transactions on Sustainable Energy (2022) Vol. 13, Iss. 4, pp. 1930-1943
Closed Access | Times Cited: 37

Showing 1-25 of 37 citing articles:

Enhancing wind speed forecasting through synergy of machine learning, singular spectral analysis, and variational mode decomposition
Sinvaldo Rodrigues Moreno, Laio Oriel Seman, Stéfano Frizzo Stefenon, et al.
Energy (2024) Vol. 292, pp. 130493-130493
Closed Access | Times Cited: 45
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
Utilisation of Deep Learning (DL) and Neural Networks (NN) Algorithms for Energy Power Generation: A Social Network and Bibliometric Analysis (2004-2022)
Abdelhamid Zaïdi
International Journal of Energy Economics and Policy (2024) Vol. 14, Iss. 1, pp. 172-183
Open Access | Times Cited: 22
Ultra-short-term wind power probabilistic forecasting based on an evolutionary non-crossing multi-output quantile regression deep neural network
Jianhua Zhu, Yaoyao He, Xiaodong Yang, et al.
Energy Conversion and Management (2024) Vol. 301, pp. 118062-118062
Closed Access | Times Cited: 20
A novel deep learning-based forecasting model optimized by heuristic algorithm for energy management of microgrid
Hyoungin Kim, M.K. Kim
Applied Energy (2022) Vol. 332, pp. 120525-120525
Closed Access | Times Cited: 50
A hybrid short-term wind power point-interval prediction model based on combination of improved preprocessing methods and entropy weighted GRU quantile regression network
Tianhong Liu, Shengli Qi, Xianzhu Qiao, et al.
Energy (2023) Vol. 288, pp. 129904-129904
Closed Access | Times Cited: 24
Conformal asymmetric multi-quantile generative transformer for day-ahead wind power interval prediction
Wei Wang, Bin Feng, Gang Huang, et al.
Applied Energy (2023) Vol. 333, pp. 120634-120634
Closed Access | Times Cited: 19
Review on Artificial Intelligence-Based Fault Location Methods in Power Distribution Networks
Hamed Rezapour, S. Jamali, Alireza Bahmanyar
Energies (2023) Vol. 16, Iss. 12, pp. 4636-4636
Open Access | Times Cited: 19
Ensemble optimization approach based on hybrid mode decomposition and intelligent technology for wind power prediction system
Yagang Zhang, Hui Wang, Jingchao Wang, et al.
Energy (2024) Vol. 292, pp. 130492-130492
Closed Access | Times Cited: 6
Wind Power Forecasting Enhancement Utilizing Adaptive Quantile Function and CNN-LSTM: A Probabilistic Approach
Oveis Abedinia, Ali Ghasemi-Marzbali, Mohammad Shafiei, et al.
IEEE Transactions on Industry Applications (2024) Vol. 60, Iss. 3, pp. 4446-4457
Closed Access | Times Cited: 5
Spatio-Temporal Graph Neural Network and Pattern Prediction Based Ultra-Short-Term Power Forecasting of Wind Farm Cluster
Xiaoyan Liu, Yiran Zhang, Zhao Zhen, et al.
IEEE Transactions on Industry Applications (2023) Vol. 60, Iss. 1, pp. 1794-1803
Closed Access | Times Cited: 14
An Adaptive Hybrid Model for Wind Power Prediction Based on the IVMD-FE-Ad-Informer
Yuqian Tian, Dazhi Wang, Guolin Zhou, et al.
Entropy (2023) Vol. 25, Iss. 4, pp. 647-647
Open Access | Times Cited: 13
Non-crossing quantile probabilistic forecasting of cluster wind power considering spatio-temporal correlation
Yuejiang Chen, Jiang‐Wen Xiao, Yan‐Wu Wang, et al.
Applied Energy (2024) Vol. 377, pp. 124356-124356
Closed Access | Times Cited: 5
Hybrid model based on similar power extraction and improved temporal convolutional network for probabilistic wind power forecasting
Yuejiang Chen, Yingjing He, Jiang‐Wen Xiao, et al.
Energy (2024) Vol. 304, pp. 131966-131966
Closed Access | Times Cited: 4
Generative probabilistic forecasting of wind power: A Denoising-Diffusion-based nonstationary signal modeling approach
Jingxuan Liu, Haixiang Zang, Lilin Cheng, et al.
Energy (2025), pp. 134576-134576
Closed Access
Ultra-short-term Wind power prediction algorithm based on bidirectional neural controlled differential equations
Chu Li, Bingjia Xiao, Qiping Yuan
Electric Power Systems Research (2025) Vol. 243, pp. 111479-111479
Closed Access
Box–Cox integrated sARIMA model for day-ahead inertia forecasting
Rabina Ningombam, Chandransh Singh, Sreenu Sreekumar, et al.
Electrical Engineering (2025)
Closed Access
Risk-Averse Optimal Combining Forecasts for Renewable Energy Trading under CVaR Assessment of Forecast Errors
Jiale Wang, Yidan Zhou, Yao Zhang, et al.
IEEE Transactions on Power Systems (2023) Vol. 39, Iss. 1, pp. 2296-2309
Closed Access | Times Cited: 11
Hedge Backpropagation Based Online LSTM Architecture for Ultra-Short-Term Wind Power Forecasting
Chunyang Pan, Shuli Wen, Miao Zhu, et al.
IEEE Transactions on Power Systems (2023) Vol. 39, Iss. 2, pp. 4179-4192
Closed Access | Times Cited: 11
An Adaptive Approach for Probabilistic Wind Power Forecasting Based on Meta-Learning
Zichao Meng, Ye Guo, Hongbin Sun
IEEE Transactions on Sustainable Energy (2024) Vol. 15, Iss. 3, pp. 1814-1833
Open Access | Times Cited: 3
Probabilistic online learning framework for short-term wind power forecasting using ensemble bagging regression model
Arun K. Nayak, Kailash Chand Sharma, Rohit Bhakar, et al.
Energy Conversion and Management (2024) Vol. 323, pp. 119142-119142
Closed Access | Times Cited: 2
Grey Wolf Optimizer for RES Capacity Factor Maximization at the Placement Planning Stage
Andrey Bramm, Stanislav A. Eroshenko, Alexandra I. Khalyasmaa, et al.
Mathematics (2023) Vol. 11, Iss. 11, pp. 2545-2545
Open Access | Times Cited: 5
An Improved Quadratic Spline Model Using Curvature Tip Compression - Particle Swarm Optimization to Forecast Accurately the Nonlinear Fluid Calibration Curve
Jalu A. Prakosa, Norma Alias, Purwowibowo Purwowibowo, et al.
IEEE Access (2024) Vol. 12, pp. 144519-144532
Open Access | Times Cited: 1
Implementing ultra-short-term wind power forecasting without information leakage through cascade decomposition and attention mechanism
Jianguo Wang, Weiru Yuan, Shude Zhang, et al.
Energy (2024), pp. 133513-133513
Closed Access | Times Cited: 1
Probabilistic Time Series Forecasting Based on Similar Segment Importance in the Process Industry
Xingyou Yan, Heng Zhang, Wang Zhi-gang, et al.
Processes (2024) Vol. 12, Iss. 12, pp. 2700-2700
Open Access | Times Cited: 1
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