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OpenAlex Citation Counts

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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 photovoltaic power point-interval forecasting based on double-layer decomposition and WOA-BiLSTM-Attention and considering weather classification
Min Yu, Dongxiao Niu, Keke Wang, et al.
Energy (2023) Vol. 275, pp. 127348-127348
Closed Access | Times Cited: 54

Showing 1-25 of 54 citing articles:

Deep learning model for short-term photovoltaic power forecasting based on variational mode decomposition and similar day clustering
Meng Li, Wei Wang, Yan He, et al.
Computers & Electrical Engineering (2024) Vol. 115, pp. 109116-109116
Closed Access | Times Cited: 23
Short-term photovoltaic power forecasting with feature extraction and attention mechanisms
Wen‐Cheng Liu, Zhizhong Mao
Renewable Energy (2024) Vol. 226, pp. 120437-120437
Closed Access | Times Cited: 22
Sub-region division based short-term regional distributed PV power forecasting method considering spatio-temporal correlations
Wenzhe Lai, Zhao Zhen, Fei Wang, et al.
Energy (2023) Vol. 288, pp. 129716-129716
Closed Access | Times Cited: 33
Forecasting Solar Photovoltaic Power Production: A Comprehensive Review and Innovative Data-Driven Modeling Framework
Sameer Al‐Dahidi, Manoharan Madhiarasan, Loiy Al‐Ghussain, et al.
Energies (2024) Vol. 17, Iss. 16, pp. 4145-4145
Open Access | Times Cited: 13
Refined offshore wind speed prediction: Leveraging a two-layer decomposition technique, gated recurrent unit, and kernel density estimation for precise point and interval forecasts
Mie Wang, Feixiang Ying, Qianru Nan
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108435-108435
Closed Access | Times Cited: 12
Carbon emission price point-interval forecasting based on multivariate variational mode decomposition and attention-LSTM model
Liling Zeng, Huanling Hu, Huajun Tang, et al.
Applied Soft Computing (2024) Vol. 157, pp. 111543-111543
Closed Access | Times Cited: 10
Wind and Solar Power Generation Forecasting Based on Hybrid CNN-ABiLSTM, CNN-Transformer-MLP Models
Tasarruf Bashir, Huifang Wang, Mustafa Tahir, et al.
Renewable Energy (2024), pp. 122055-122055
Closed Access | Times Cited: 8
Electrical load forecasting based on variable T-distribution and dual attention mechanism
Jianguo Wang, Lincheng Han, Xiuyu Zhang, et al.
Energy (2023) Vol. 283, pp. 128569-128569
Closed Access | Times Cited: 20
An intelligent hybrid approach for photovoltaic power forecasting using enhanced chaos game optimization algorithm and Locality sensitive hashing based Informer model
Peng Tian, Yongyan Fu, Yuhan Wang, et al.
Journal of Building Engineering (2023) Vol. 78, pp. 107635-107635
Closed Access | Times Cited: 20
Point and interval prediction for significant wave height based on LSTM-GRU and KDE
Mie Wang, Feixiang Ying
Ocean Engineering (2023) Vol. 289, pp. 116247-116247
Closed Access | Times Cited: 19
Bio-multisensory-inspired gate-attention coordination model for forecasting short-term significant wave height
Han Wu, Xiao‐Zhi Gao, Jiani Heng
Energy (2024) Vol. 294, pp. 130887-130887
Closed Access | Times Cited: 7
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: 7
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: 15
Combined IXGBoost-KELM short-term photovoltaic power prediction model based on multidimensional similar day clustering and dual decomposition
Thomas Wu, Ruifeng Hu, Hongyu Zhu, et al.
Energy (2023) Vol. 288, pp. 129770-129770
Closed Access | Times Cited: 14
A novel chaotic time series wind power point and interval prediction method based on data denoising strategy and improved coati optimization algorithm
Chao Wang, Lin Hon, Ming Yang, et al.
Chaos Solitons & Fractals (2024) Vol. 187, pp. 115442-115442
Closed Access | Times Cited: 4
Improving Short-Term Photovoltaic Power Generation Forecasting with a Bidirectional Temporal Convolutional Network Enhanced by Temporal Bottlenecks and Attention Mechanisms
Jianhong Gan, Xi Lin, Tinghui Chen, et al.
Electronics (2025) Vol. 14, Iss. 2, pp. 214-214
Open Access
Short-Term Photovoltaic Power Prediction Based on Multi-Stage Temporal Feature Learning
Qiang Wang, Hao Cheng, Wenrui Zhang, et al.
Energy Engineering (2025), pp. 1-10
Open Access
Hybrid point-interval prediction method for stochastic dynamic response of subsea umbilical cable based on BO-BiLSTM and adaptive bandwidth KDE
Qi Su, Hailong Lu, Xu Yin, et al.
Ocean Engineering (2025) Vol. 320, pp. 120317-120317
Closed Access
Short-term photovoltaic power prediction based on RF-SGMD-GWO-BiLSTM hybrid models
Shaomei Yang, Y. Luo
Energy (2025), pp. 134545-134545
Closed Access
A short-term PV power forecasting method based on weather type credibility prediction and multi-model dynamic combination
Haonan Dai, Zhao Zhen, Fei Wang, et al.
Energy Conversion and Management (2025) Vol. 326, pp. 119501-119501
Closed Access
Integrating PQTCN-MPC with innovation: A new strategy for accurate PV power prediction
Zhongbao Lin, Desheng Rong
Computers & Electrical Engineering (2025) Vol. 123, pp. 110188-110188
Open Access
Day-Ahead Solar Irradiance Prediction based on Multi-Feature Perspective Clustering
Yong Wang, Gaowei Yan, Shuyi Xiao, et al.
Energy (2025), pp. 135216-135216
Closed Access
Improved bidirectional long short-term memory network-based short-term forecasting of photovoltaic power for different seasonal types and weather factors
Ruixian Wang, Rui Ma, Linjun Zeng, et al.
Computers & Electrical Engineering (2025) Vol. 123, pp. 110219-110219
Closed Access
Photovoltaic power prediction based on multi-scale photovoltaic power fluctuation characteristics and multi-channel LSTM prediction models
Fengpeng Sun, Longhao Li, Dun-xin Bian, et al.
Renewable Energy (2025), pp. 122866-122866
Closed Access
An improved hybrid neural network algorithm for predicting photovoltaic output power: Considering the seasonal output characteristics of solar energy
Mengyao Chao, J. Yu, Wen‐Qiang Cao, et al.
Journal of Renewable and Sustainable Energy (2025) Vol. 17, Iss. 2
Closed Access
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