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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:

An improved residual-based convolutional neural network for very short-term wind power forecasting
Ceyhun Yıldız, Hakan Açıkgöz, Deniz Korkmaz, et al.
Energy Conversion and Management (2020) Vol. 228, pp. 113731-113731
Closed Access | Times Cited: 198

Showing 1-25 of 198 citing articles:

A review and taxonomy of wind and solar energy forecasting methods based on deep learning
Ghadah Alkhayat, Rashid Mehmood
Energy and AI (2021) Vol. 4, pp. 100060-100060
Open Access | Times Cited: 205
Hybrid VMD-CNN-GRU-based model for short-term forecasting of wind power considering spatio-temporal features
Zeni Zhao, Sining Yun, Lingyun Jia, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 121, pp. 105982-105982
Closed Access | Times Cited: 156
Detection and segmentation of loess landslides via satellite images: a two-phase framework
Huajin Li, Yusen He, Qiang Xu, et al.
Landslides (2022) Vol. 19, Iss. 3, pp. 673-686
Closed Access | Times Cited: 128
Efficient bootstrap stacking ensemble learning model applied to wind power generation forecasting
Matheus Henrique Dal Molin Ribeiro, Ramon Gomes da Silva, Sinvaldo Rodrigues Moreno, et al.
International Journal of Electrical Power & Energy Systems (2021) Vol. 136, pp. 107712-107712
Closed Access | Times Cited: 121
State-of-the-art review on energy and load forecasting in microgrids using artificial neural networks, machine learning, and deep learning techniques
Raniyah Wazirali, Elnaz Yaghoubi, Mohammed Shadi S. Abujazar, et al.
Electric Power Systems Research (2023) Vol. 225, pp. 109792-109792
Closed Access | Times Cited: 112
SolarNet: A hybrid reliable model based on convolutional neural network and variational mode decomposition for hourly photovoltaic power forecasting
Deniz Korkmaz
Applied Energy (2021) Vol. 300, pp. 117410-117410
Closed Access | Times Cited: 110
Ultra-short term wind power prediction applying a novel model named SATCN-LSTM
Ling Xiang, Jianing Liu, Xin Yang, et al.
Energy Conversion and Management (2021) Vol. 252, pp. 115036-115036
Closed Access | Times Cited: 110
Point and interval forecasting of ultra-short-term wind power based on a data-driven method and hybrid deep learning model
Dongxiao Niu, Lijie Sun, Min Yu, et al.
Energy (2022) Vol. 254, pp. 124384-124384
Closed Access | Times Cited: 109
Short-term wind power forecasting based on Attention Mechanism and Deep Learning
Bangru Xiong, Lu Lou, Xinyu Meng, et al.
Electric Power Systems Research (2022) Vol. 206, pp. 107776-107776
Closed Access | Times Cited: 106
Convolutional Neural Networks based classification of breast ultrasonography images by hybrid method with respect to benign, malignant, and normal using mRMR
Yeşim Eroğlu, Muhammed Yıldırım, Ahmet Çınar
Computers in Biology and Medicine (2021) Vol. 133, pp. 104407-104407
Closed Access | Times Cited: 105
Adaptive VMD based optimized deep learning mixed kernel ELM autoencoder for single and multistep wind power forecasting
Vijaya Krishna Rayi, Sthita Prajna Mishra, Jyotirmayee Naik, et al.
Energy (2021) Vol. 244, pp. 122585-122585
Closed Access | Times Cited: 105
Boosted ANFIS model using augmented marine predator algorithm with mutation operators for wind power forecasting
Mohammed A. A. Al‐qaness, Ahmed A. Ewees, Hong Fan, et al.
Applied Energy (2022) Vol. 314, pp. 118851-118851
Closed Access | Times Cited: 103
A hybrid attention-based deep learning approach for wind power prediction
Zhengjing Ma, Gang Mei
Applied Energy (2022) Vol. 323, pp. 119608-119608
Closed Access | Times Cited: 100
Short-term multi-step wind power forecasting based on spatio-temporal correlations and transformer neural networks
Shilin Sun, Yuekai Liu, Qi Li, et al.
Energy Conversion and Management (2023) Vol. 283, pp. 116916-116916
Closed Access | Times Cited: 99
Wind Energy Scenario, Success and Initiatives towards Renewable Energy in India—A Review
Upma Singh, M. Rizwan, Hasmat Malik, et al.
Energies (2022) Vol. 15, Iss. 6, pp. 2291-2291
Open Access | Times Cited: 97
A comprehensive review on deep learning approaches in wind forecasting applications
Zhou Wu, Gan Luo, Zhile Yang, et al.
CAAI Transactions on Intelligence Technology (2022) Vol. 7, Iss. 2, pp. 129-143
Open Access | Times Cited: 96
A multi-factor driven spatiotemporal wind power prediction model based on ensemble deep graph attention reinforcement learning networks
Chengqing Yu, Guangxi Yan, Chengming Yu, et al.
Energy (2022) Vol. 263, pp. 126034-126034
Closed Access | Times Cited: 90
Deep learning combined wind speed forecasting with hybrid time series decomposition and multi-objective parameter optimization
Sheng-Xiang Lv, Lin Wang
Applied Energy (2022) Vol. 311, pp. 118674-118674
Closed Access | Times Cited: 87
Deep learning for renewable energy forecasting: A taxonomy, and systematic literature review
Changtian Ying, Weiqing Wang, Jiong Yu, et al.
Journal of Cleaner Production (2022) Vol. 384, pp. 135414-135414
Closed Access | Times Cited: 75
Decomposition-based wind speed forecasting model using causal convolutional network and attention mechanism
Zhihao Shang, Yao Chen, Yanhua Chen, et al.
Expert Systems with Applications (2023) Vol. 223, pp. 119878-119878
Closed Access | Times Cited: 43
A novel hybrid model based on Empirical Mode Decomposition and Echo State Network for wind power forecasting
Uğur Yüzgeç, Emrah Dokur, MEHMET EMİN BALCI
Energy (2024) Vol. 300, pp. 131546-131546
Closed Access | Times Cited: 20
Research on a novel photovoltaic power forecasting model based on parallel long and short-term time series network
Guozhu Li, Chenjun Ding, Naini Zhao, et al.
Energy (2024) Vol. 293, pp. 130621-130621
Closed Access | Times Cited: 18
A short-term power prediction method based on numerical weather prediction correction and the fusion of adaptive spatiotemporal graph feature information for wind farm cluster
Mao Yang, Chao Han, Wei Zhang, et al.
Expert Systems with Applications (2025) Vol. 274, pp. 126979-126979
Closed Access | Times Cited: 2
A novel approach based on integration of convolutional neural networks and deep feature selection for short-term solar radiation forecasting
Hakan Açıkgöz
Applied Energy (2021) Vol. 305, pp. 117912-117912
Closed Access | Times Cited: 94
A hybrid deep learning architecture for wind power prediction based on bi-attention mechanism and crisscross optimization
Anbo Meng, Shun Chen, Zuhong Ou, et al.
Energy (2021) Vol. 238, pp. 121795-121795
Closed Access | Times Cited: 85
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