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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 short-term wind power prediction model based on CEEMD and WOA-KELM
Yunfei Ding, Zijun Chen, Hongwei Zhang, et al.
Renewable Energy (2022) Vol. 189, pp. 188-198
Closed Access | Times Cited: 113

Showing 1-25 of 113 citing articles:

A dual-scale deep learning model based on ELM-BiLSTM and improved reptile search algorithm for wind power prediction
Jinlin Xiong, Peng Tian, Zihan Tao, et al.
Energy (2022) Vol. 266, pp. 126419-126419
Closed Access | Times Cited: 151
Wind speed prediction by a swarm intelligence based deep learning model via signal decomposition and parameter optimization using improved chimp optimization algorithm
Leiming Suo, Peng Tian, Shihao Song, et al.
Energy (2023) Vol. 276, pp. 127526-127526
Closed Access | Times Cited: 75
Wind power forecasting based on hybrid CEEMDAN-EWT deep learning method
Irene Karijadi, Shuo‐Yan Chou, Anindhita Dewabharata
Renewable Energy (2023) Vol. 218, pp. 119357-119357
Closed Access | Times Cited: 43
High and low frequency wind power prediction based on Transformer and BiGRU-Attention
Shuangxin Wang, Jiarong Shi, Wei Yang, et al.
Energy (2023) Vol. 288, pp. 129753-129753
Closed Access | Times Cited: 42
Multivariate short-term wind speed prediction based on PSO-VMD-SE-ICEEMDAN two-stage decomposition and Att-S2S
Xiaoying Sun, Haizhong Liu
Energy (2024) Vol. 305, pp. 132228-132228
Closed Access | Times Cited: 21
Load forecasting for regional integrated energy system based on two-phase decomposition and mixture prediction model
Jian Shi, Jiashen Teh, Bader Alharbi, et al.
Energy (2024) Vol. 297, pp. 131236-131236
Closed Access | Times Cited: 20
Short-term wind power prediction method based on CEEMDAN-GWO-Bi-LSTM
Hongbin Sun, Qing Cui, Jingya Wen, et al.
Energy Reports (2024) Vol. 11, pp. 1487-1502
Open Access | Times Cited: 16
A hybrid wind speed forecasting model with two-stage data processing based on adaptive neuro-fuzzy inference systems and deep learning algorithms
Zhongda Tian, D. H. Wei
Earth Science Informatics (2025) Vol. 18, Iss. 1
Closed Access | Times Cited: 2
Mid-term electricity demand forecasting using improved variational mode decomposition and extreme learning machine optimized by sparrow search algorithm
Tian Gao, Dongxiao Niu, Zhengsen Ji, et al.
Energy (2022) Vol. 261, pp. 125328-125328
Closed Access | Times Cited: 43
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 multifactor hybrid model for carbon price interval prediction based on decomposition-integration framework
Guozhong Zheng, Kang Li, Xuhui Yue, et al.
Journal of Environmental Management (2024) Vol. 363, pp. 121273-121273
Closed Access | Times Cited: 10
Wind turbine blade icing risk assessment considering power output predictions based on SCSO-IFCM clustering algorithm
Lei Wang, Yigang He, Yinglong He, et al.
Renewable Energy (2024) Vol. 223, pp. 119969-119969
Closed Access | Times Cited: 9
Multifactor interpretability method for offshore wind power output prediction based on TPE-CatBoost-SHAP
Jia-Ling Ruan, Yun Chen, Gang Lu, et al.
Computers & Electrical Engineering (2025) Vol. 123, pp. 110081-110081
Closed Access | Times Cited: 1
Performance Analysis of Wind-Hydrogen Energy Storage System Using Composite Objective Optimization Proactive Scheduling Strategy Coordinated with Wind Power Prediction
Xinyi Liu, Zitao Wang, Shuai Xu, et al.
Energy (2025), pp. 135416-135416
Closed Access | Times Cited: 1
Research and application of an evolutionary deep learning model based on improved grey wolf optimization algorithm and DBN-ELM for AQI prediction
Yiman Li, Peng Tian, Lei Hua, et al.
Sustainable Cities and Society (2022) Vol. 87, pp. 104209-104209
Closed Access | Times Cited: 36
A multi-step probability density prediction model based on gaussian approximation of quantiles for offshore wind power
Wanying Zhang, Yaoyao He, Shanlin Yang
Renewable Energy (2022) Vol. 202, pp. 992-1011
Closed Access | Times Cited: 29
A new demand response management strategy considering renewable energy prediction and filtering technology
Xidong Zheng, Feifei Bai, Zhiyuan Zhuang, et al.
Renewable Energy (2023) Vol. 211, pp. 656-668
Open Access | Times Cited: 21
The ultra-short-term wind power point-interval forecasting model based on improved variational mode decomposition and bidirectional gated recurrent unit improved by improved sparrow search algorithm and attention mechanism
Xiwen Cui, Xiaoyu Yu, Dongxiao Niu
Energy (2023) Vol. 288, pp. 129714-129714
Closed Access | Times Cited: 17
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: 7
A wind power forecasting model based on data decomposition and cross-attention mechanism with cosine similarity
Jiang Li, Yifan Wang
Electric Power Systems Research (2024) Vol. 229, pp. 110156-110156
Closed Access | Times Cited: 6
Review of AI-Based Wind Prediction within Recent Three Years: 2021–2023
Dongran Song, Xiao Tan, Qian Huang, et al.
Energies (2024) Vol. 17, Iss. 6, pp. 1270-1270
Open Access | Times Cited: 6
Machine Learning Approaches to Predict Electricity Production from Renewable Energy Sources
Adam Krechowicz, Maria Krechowicz, Katarzyna Poczęta
Energies (2022) Vol. 15, Iss. 23, pp. 9146-9146
Open Access | Times Cited: 26
Lightweight actor-critic generative adversarial networks for real-time smart generation control of microgrids
Kunlun Han, Kai Yang, Linfei Yin
Applied Energy (2022) Vol. 317, pp. 119163-119163
Closed Access | Times Cited: 24
A hybrid forecasting system with complexity identification and improved optimization for short-term wind speed prediction
Yagang Zhang, Yinchuan Chen, Zihan Qi, et al.
Energy Conversion and Management (2022) Vol. 270, pp. 116221-116221
Closed Access | Times Cited: 23
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
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