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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:

Short-term wind power forecasting based on SSA-VMD-LSTM
Xiao-Zhi Gao, Wang Guo, Chunxiao Mei, et al.
Energy Reports (2023) Vol. 9, pp. 335-344
Open Access | Times Cited: 52

Showing 1-25 of 52 citing articles:

Enhancing direct Normal solar Irradiation forecasting for heliostat field applications through a novel hybrid model
Mawloud Guermoui, Toufik Arrif, Abdelfetah Belaid, et al.
Energy Conversion and Management (2024) Vol. 304, pp. 118189-118189
Closed Access | Times Cited: 21
Enhancing short-term wind speed prediction based on an outlier-robust ensemble deep random vector functional link network with AOA-optimized VMD
Chu Zhang, Zhengbo Li, Yida Ge, et al.
Energy (2024) Vol. 296, pp. 131173-131173
Closed Access | Times Cited: 20
Short-Term Wind Power Forecasting Based on VMD and a Hybrid SSA-TCN-BiGRU Network
Yujie Zhang, Lei Zhang, Duo Sun, et al.
Applied Sciences (2023) Vol. 13, Iss. 17, pp. 9888-9888
Open Access | Times Cited: 21
A Novel Improved Variational Mode Decomposition-Temporal Convolutional Network-Gated Recurrent Unit with Multi-Head Attention Mechanism for Enhanced Photovoltaic Power Forecasting
Hua Fu, Junnan Zhang, Sen Xie
Electronics (2024) Vol. 13, Iss. 10, pp. 1837-1837
Open Access | Times Cited: 8
A wind speed forecasting model using nonlinear auto-regressive model optimized by the hybrid chaos-cloud salp swarm algorithm
Junfeng Dai, Lihui Fu
Energy (2024) Vol. 298, pp. 131332-131332
Closed Access | Times Cited: 6
The bi-long short-term memory based on multiscale and mesoscale feature extraction for electric load forecasting
Guo‐Feng Fan, Jinwei Li, Li‐Ling Peng, et al.
Applied Soft Computing (2024) Vol. 162, pp. 111853-111853
Closed Access | Times Cited: 6
A novel ultra-short-term wind power forecasting method based on TCN and Informer models
Qi Li, Xiaoying Ren, Fei Zhang, et al.
Computers & Electrical Engineering (2024) Vol. 120, pp. 109632-109632
Closed Access | Times Cited: 6
River Water Temperature Prediction Using a Hybrid Model Based on Variational Mode Decomposition (VMD) and Outlier Robust Extreme Learning Machine
Ehsan Mirzania, Thendiyath Roshni, Mohammad Ali Ghorbani, et al.
Environmental Processes (2024) Vol. 11, Iss. 3
Closed Access | Times Cited: 5
Uncertainty analysis of photovoltaic power generation system and intelligent coupling prediction
Guo‐Feng Fan, Yi-Wen Feng, Li‐Ling Peng, et al.
Renewable Energy (2024) Vol. 234, pp. 121174-121174
Closed Access | Times Cited: 5
Load Forecasting for the Laser Metal Processing Industry Using VMD and Hybrid Deep Learning Models
Fachrizal Aksan, Vishnu Suresh, Przemysław Janik, et al.
Energies (2023) Vol. 16, Iss. 14, pp. 5381-5381
Open Access | Times Cited: 11
Prediction of EV Charging Load Based on Federated Learning
Wanjun Yin, Jianbo Ji
Energy (2025), pp. 134559-134559
Closed Access
Short-term forecasting of building heating load based on MVMD-SSA-LSTM
Bo Zhou, Yueyi Zhang, Fei Chao-yang, et al.
Clean Energy Science and Technology (2025) Vol. 3, Iss. 1, pp. 297-297
Closed Access
A hybrid approach for lithium-ion battery remaining useful life prediction using signal decomposition and machine learning
Yibiao Fan, Ziyong Lin, Fan Wang, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Using Signal Decomposition Methods and Deep Learning Approaches to Forecast Bitcoin Price
Chun-Li Tsai, Mu‐Yen Chen, Tsung-Yi Tsai, et al.
Computational Economics (2025)
Closed Access
Revolutionizing solar-hydro-wind power forecasts in regional power systems with hybrid machine learning models
Yan Tang, Yanlai Zhou, Pan Liu, et al.
Solar Energy (2025) Vol. 291, pp. 113391-113391
Closed Access
ISI Net: A novel paradigm integrating interpretability and intelligent selection in ensemble learning for accurate wind power forecasting
Bingjie Liang, Zhirui Tian
Energy Conversion and Management (2025) Vol. 332, pp. 119752-119752
Closed Access
Combined multi-component composite time series power prediction model for distributed energy systems based on STL data decomposition
T. J. Yang, Liansheng Huang, Peng Fu, et al.
Measurement (2025), pp. 117299-117299
Open Access
A short-term wind power prediction based on MCOOT optimized deep learning networks and attention-weighted environmental factors for error correction
Yiping Xiao, Honghao Wei, Shi Ying, et al.
Energy (2025) Vol. 324, pp. 136054-136054
Closed Access
Ultra-short-term wind power forecasting based on long short-term memory network with modified honey badger algorithm
Lei Guo, Chang Xu, Tianhang Yu, et al.
Energy Reports (2024) Vol. 12, pp. 3548-3565
Open Access | Times Cited: 3
Optimal Extreme Random Forest Ensemble for Active Distribution Network Forecasting-Aided State Estimation Based on Maximum Average Energy Concentration VMD State Decomposition
Yue Yu, Jiahui Guo, Zhaoyang Jin
Energies (2023) Vol. 16, Iss. 15, pp. 5659-5659
Open Access | Times Cited: 8
A Deep Learning Approach Based on Novel Multi-Feature Fusion for Power Load Prediction
Ling Xiao, Ruofan An, Xue Zhang
Processes (2024) Vol. 12, Iss. 4, pp. 793-793
Open Access | Times Cited: 2
Novel hybrid data-driven modeling integrating variational modal decomposition and dual-stage self-attention model: applied to industrial petrochemical process
Jian Long, Cheng Huang, Kai Deng, et al.
Energy (2024) Vol. 304, pp. 131895-131895
Closed Access | Times Cited: 2
A new multi-modal time series transformation method and multi-scale convolutional attention network for railway wagon bearing fault diagnosis
Zhihui Men, Yonghua Li, Wuchu Tang, et al.
Journal of Vibration and Control (2024)
Closed Access | Times Cited: 2
DMPR: A Novel Wind Speed Forecasting Model Based on Optimized Decomposition, Multi-objective Feature Selection, and Patch-Based RNN
Chenhao Cai, Leyao Zhang, Jianguo Zhou
Energy (2024), pp. 133277-133277
Closed Access | Times Cited: 2
Short-Term Multi-Step Wind Direction Prediction Based on OVMD Quadratic Decomposition and LSTM
Banteng Liu, Yangqing Xie, Ke Wang, et al.
Sustainability (2023) Vol. 15, Iss. 15, pp. 11746-11746
Open Access | Times Cited: 4
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