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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 Forecasting Based on Long Short Term Memory Neural Network and Attention Mechanism
Hangxia Zhou, Yujin Zhang, Lingfan Yang, et al.
IEEE Access (2019) Vol. 7, pp. 78063-78074
Open Access | Times Cited: 330

Showing 1-25 of 330 citing articles:

Short-Term Photovoltaic Power Forecasting Using an LSTM Neural Network and Synthetic Weather Forecast
Mohammad Safayet Hossain, Hisham Mahmood
IEEE Access (2020) Vol. 8, pp. 172524-172533
Open Access | Times Cited: 258
An LSTM Short-Term Solar Irradiance Forecasting Under Complicated Weather Conditions
Yunjun Yu, Junfei Cao, Jianyong Zhu
IEEE Access (2019) Vol. 7, pp. 145651-145666
Open Access | Times Cited: 249
Methods and applications for Artificial Intelligence, Big Data, Internet of Things, and Blockchain in smart energy management
Joey H. Li, Münür Sacit Herdem, Jatin Nathwani, et al.
Energy and AI (2022) Vol. 11, pp. 100208-100208
Open Access | Times Cited: 238
Deep learning neural networks for short-term photovoltaic power forecasting
A. Mellit, Alessandro Pavan, Vanni Lughi
Renewable Energy (2021) Vol. 172, pp. 276-288
Closed Access | Times Cited: 228
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: 204
Accurate one step and multistep forecasting of very short-term PV power using LSTM-TCN model
Tariq Limouni, Reda Yaagoubi, K. Bouziane, et al.
Renewable Energy (2023) Vol. 205, pp. 1010-1024
Closed Access | Times Cited: 148
A novel state-of-health estimation for the lithium-ion battery using a convolutional neural network and transformer model
Xinyu Gu, Khay Wai See, Penghua Li, et al.
Energy (2022) Vol. 262, pp. 125501-125501
Closed Access | Times Cited: 136
A Simplified LSTM Neural Networks for One Day-Ahead Solar Power Forecasting
Chun‐Hung Liu, Jyh‐Cherng Gu, Ming‐Ta Yang
IEEE Access (2021) Vol. 9, pp. 17174-17195
Open Access | Times Cited: 131
Spatio-Temporal Graph Neural Networks for Multi-Site PV Power Forecasting
Jelena Simeunović, Baptiste Schubnel, Pierre‐Jean Alet, et al.
IEEE Transactions on Sustainable Energy (2021) Vol. 13, Iss. 2, pp. 1210-1220
Open Access | Times Cited: 123
Artificial intelligence techniques for enabling Big Data services in distribution networks: A review
Sara Barja-Martinez, Mònica Aragüés‐Peñalba, Íngrid Munné‐Collado, et al.
Renewable and Sustainable Energy Reviews (2021) Vol. 150, pp. 111459-111459
Open Access | Times Cited: 114
A hybrid deep learning technology for PM2.5 air quality forecasting
Zhendong Zhang, Yongkang Zeng, Ke Yan
Environmental Science and Pollution Research (2021) Vol. 28, Iss. 29, pp. 39409-39422
Closed Access | Times Cited: 110
A Review on Application of Artificial Intelligence Techniques in Microgrids
Ebrahim Mohammadi, Mojtaba Alizadeh, Mohsen Asgarimoghaddam, et al.
IEEE Journal of Emerging and Selected Topics in Industrial Electronics (2022) Vol. 3, Iss. 4, pp. 878-890
Closed Access | Times Cited: 90
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
A short-term forecasting method for photovoltaic power generation based on the TCN-ECANet-GRU hybrid model
Xiuli Xiang, Xingyu Li, Yaoli Zhang, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 15
Combined Ultra-Short-Term Photovoltaic Power Prediction Based on CEEMDAN Decomposition and RIME Optimized AM-TCN-BiLSTM
Daixuan Zhou, Yujin Liu, Xu Wang, et al.
Energy (2025), pp. 134847-134847
Closed Access | Times Cited: 1
Deep learning in power systems research: A review
Mahdi Khodayar, Guangyi Liu, Jianhui Wang, et al.
CSEE Journal of Power and Energy Systems (2020)
Open Access | Times Cited: 128
A comprehensive review and analysis of solar forecasting techniques
Pardeep Singla, Manoj Duhan, Sumit Saroha
Frontiers in Energy (2021) Vol. 16, Iss. 2, pp. 187-223
Closed Access | Times Cited: 89
Very-Short-Term Power Prediction for PV Power Plants Using a Simple and Effective RCC-LSTM Model Based on Short Term Multivariate Historical Datasets
Biaowei Chen, Peijie Lin, Yunfeng Lai, et al.
Electronics (2020) Vol. 9, Iss. 2, pp. 289-289
Open Access | Times Cited: 77
A State-of-Art-Review on Machine-Learning Based Methods for PV
Giuseppe Marco Tina, Cristina Ventura, Sergio Ferlito, et al.
Applied Sciences (2021) Vol. 11, Iss. 16, pp. 7550-7550
Open Access | Times Cited: 76
Short-term energy use prediction of solar-assisted water heating system: Application case of combined attention-based LSTM and time-series decomposition
Amirreza Heidari, Dolaana Khovalyg
Solar Energy (2020) Vol. 207, pp. 626-639
Open Access | Times Cited: 75
Multi-Meteorological-Factor-Based Graph Modeling for Photovoltaic Power Forecasting
Lilin Cheng, Haixiang Zang, Tao Ding, et al.
IEEE Transactions on Sustainable Energy (2021) Vol. 12, Iss. 3, pp. 1593-1603
Closed Access | Times Cited: 70
Hourly Heat Load Prediction Model Based on Temporal Convolutional Neural Network
Jiancai Song, Guixiang Xue, Xuhua Pan, et al.
IEEE Access (2020) Vol. 8, pp. 16726-16741
Open Access | Times Cited: 69
Two-Stage Attention Over LSTM With Bayesian Optimization for Day-Ahead Solar Power Forecasting
Muhammad Aslam, Seung‐Jae Lee, Sang-Hee Khang, et al.
IEEE Access (2021) Vol. 9, pp. 107387-107398
Open Access | Times Cited: 69
Deep Learning Enhanced Solar Energy Forecasting with AI-Driven IoT
Hangxia Zhou, Qian Liu, Ke Yan, et al.
Wireless Communications and Mobile Computing (2021) Vol. 2021, pp. 1-11
Open Access | Times Cited: 67
Evolutionary double attention-based long short-term memory model for building energy prediction: Case study of a green building
Zhikun Ding, Weilin Chen, Ting Hu, et al.
Applied Energy (2021) Vol. 288, pp. 116660-116660
Closed Access | Times Cited: 65
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