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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:

Transfer learning based multi-layer extreme learning machine for probabilistic wind power forecasting
Yanli Liu, Junyi Wang
Applied Energy (2022) Vol. 312, pp. 118729-118729
Closed Access | Times Cited: 63

Showing 1-25 of 63 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: 144
Joint estimation of state-of-charge and state-of-health for all cells in the battery pack using “leader-follower” strategy
Xiaopeng Tang, Yuanqiang Zhou, Furong Gao, et al.
eTransportation (2022) Vol. 15, pp. 100213-100213
Closed Access | Times Cited: 76
Overcoming the uncertainty and volatility of wind power: Day-ahead scheduling of hydro-wind hybrid power generation system by coordinating power regulation and frequency response flexibility
Shuo Han, Mengjiao He, Ziwen Zhao, et al.
Applied Energy (2022) Vol. 333, pp. 120555-120555
Closed Access | Times Cited: 57
Memory long and short term time series network for ultra-short-term photovoltaic power forecasting
Congzhi Huang, Mengyuan Yang
Energy (2023) Vol. 279, pp. 127961-127961
Closed Access | Times Cited: 35
A compound framework incorporating improved outlier detection and correction, VMD, weight-based stacked generalization with enhanced DESMA for multi-step short-term wind speed forecasting
Wenlong Fu, Yuchen Fu, Bailing Li, et al.
Applied Energy (2023) Vol. 348, pp. 121587-121587
Closed Access | Times Cited: 32
Wind power forecasting: A hybrid forecasting model and multi-task learning-based framework
Yugui Tang, Kuo Yang, Shujing Zhang, et al.
Energy (2023) Vol. 278, pp. 127864-127864
Closed Access | Times Cited: 24
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: 23
Multiple layer kernel extreme learning machine modeling and eugenics genetic sparrow search algorithm for the state of health estimation of lithium-ion batteries
Yang Li, Shunli Wang, Lei Chen, et al.
Energy (2023) Vol. 282, pp. 128776-128776
Open Access | Times Cited: 23
Short-term wind power prediction based on modal reconstruction and CNN-BiLSTM
Zheng Li, Ruosi Xu, Xiaorui Luo, et al.
Energy Reports (2023) Vol. 9, pp. 6449-6460
Open Access | Times Cited: 22
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: 13
Novel wind power ensemble forecasting system based on mixed-frequency modeling and interpretable base model selection strategy
Xiaodi Wang, Hao Yan, Wendong Yang
Energy (2024) Vol. 297, pp. 131142-131142
Closed Access | Times Cited: 11
A NARX network optimized with an adaptive weighted square-root cubature Kalman filter for the dynamic state of charge estimation of lithium-ion batteries
Paul Takyi‐Aninakwa, Shunli Wang, Hongying Zhang, et al.
Journal of Energy Storage (2023) Vol. 68, pp. 107728-107728
Open Access | Times Cited: 19
Ultra-short-term distributed PV power forecasting for virtual power plant considering data-scarce scenarios
Yuqing Wang, Wenjie Fu, Junlong Wang, et al.
Applied Energy (2024) Vol. 373, pp. 123890-123890
Closed Access | Times Cited: 6
Review of several key processes in wind power forecasting: Mathematical formulations, scientific problems, and logical relations
Mao Yang, Y. Huang, Chuanyu Xu, et al.
Applied Energy (2024) Vol. 377, pp. 124631-124631
Closed Access | Times Cited: 5
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
Model selection, adaptation, and combination for transfer learning in wind and photovoltaic power forecasts
Jens Schreiber, Bernhard Sick
Energy and AI (2023) Vol. 14, pp. 100249-100249
Open 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
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: 13
Transfer Learning for Renewable Energy Systems: A Survey
Rami Al-Hajj, Ali Assi, Bilel Neji, et al.
Sustainability (2023) Vol. 15, Iss. 11, pp. 9131-9131
Open Access | Times Cited: 13
A privacy-preserving framework integrating federated learning and transfer learning for wind power forecasting
Yugui Tang, Shujing Zhang, Zhen Zhang
Energy (2023) Vol. 286, pp. 129639-129639
Closed Access | Times Cited: 13
An intelligent hybrid method based on Monte Carlo simulation for short-term probabilistic wind power prediction
Ali Akbar Abdoos, Hatef Abdoos, Javad Kazemitabar, et al.
Energy (2023) Vol. 278, pp. 127914-127914
Closed Access | Times Cited: 12
Near real-time machine learning framework in distribution networks with low-carbon technologies using smart meter data
Emrah Dokur, Nuh Erdoğan, İbrahim Şengör, et al.
Applied Energy (2025) Vol. 384, pp. 125433-125433
Open Access
Big data-driven prognostics and health management of lithium-ion batteries:A review
Kui Chen, Yang Luo, Zhou Long, et al.
Renewable and Sustainable Energy Reviews (2025) Vol. 214, pp. 115522-115522
Closed Access
The attention-assisted ordinary differential equation networks for short-term probabilistic wind power predictions
Xin Liu, Luoxiao Yang, Zijun Zhang
Applied Energy (2022) Vol. 324, pp. 119794-119794
Closed Access | Times Cited: 21
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
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