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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:

Unsupervised Clustering-Based Short-Term Solar Forecasting
Cong Feng, Mingjian Cui, Bri‐Mathias Hodge, et al.
IEEE Transactions on Sustainable Energy (2018) Vol. 10, Iss. 4, pp. 2174-2185
Open Access | Times Cited: 97

Showing 1-25 of 97 citing articles:

Taxonomy research of artificial intelligence for deterministic solar power forecasting
Huaizhi Wang, Yangyang Liu, Bin Zhou, et al.
Energy Conversion and Management (2020) Vol. 214, pp. 112909-112909
Closed Access | Times Cited: 266
Deep learning and statistical methods for short- and long-term solar irradiance forecasting for Islamabad
Syed Altan Haider, Muhammad Sajid, Sajid Hassan, et al.
Renewable Energy (2022) Vol. 198, pp. 51-60
Closed Access | Times Cited: 90
Convolutional neural networks for intra-hour solar forecasting based on sky image sequences
Cong Feng, Jie Zhang, Wenqi Zhang, et al.
Applied Energy (2022) Vol. 310, pp. 118438-118438
Open Access | Times Cited: 87
SolarNet: A sky image-based deep convolutional neural network for intra-hour solar forecasting
Cong Feng, Jie Zhang
Solar Energy (2020) Vol. 204, pp. 71-78
Open Access | Times Cited: 124
Reinforced Deterministic and Probabilistic Load Forecasting via $Q$ -Learning Dynamic Model Selection
Cong Feng, Mucun Sun, Jie Zhang
IEEE Transactions on Smart Grid (2019) Vol. 11, Iss. 2, pp. 1377-1386
Closed Access | Times Cited: 120
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: 90
Probabilistic solar power forecasting based on weather scenario generation
Mucun Sun, Cong Feng, Jie Zhang
Applied Energy (2020) Vol. 266, pp. 114823-114823
Open Access | Times Cited: 89
Deep Learning-Based Real-Time Building Occupancy Detection Using AMI Data
Cong Feng, Ali Mehmani, Jie Zhang
IEEE Transactions on Smart Grid (2020) Vol. 11, Iss. 5, pp. 4490-4501
Closed Access | Times Cited: 81
SolarGAN: Multivariate Solar Data Imputation Using Generative Adversarial Network
Wenjie Zhang, Yonghong Luo, Ying Zhang, et al.
IEEE Transactions on Sustainable Energy (2020) Vol. 12, Iss. 1, pp. 743-746
Closed Access | Times Cited: 79
RSAM: Robust Self-Attention Based Multi-Horizon Model for Solar Irradiance Forecasting
Swati Sharda, Mukhtiar Singh, Kapil Sharma
IEEE Transactions on Sustainable Energy (2020) Vol. 12, Iss. 2, pp. 1394-1405
Closed Access | Times Cited: 71
A deep learning based hybrid method for hourly solar radiation forecasting
Chun Sing Lai, Cankun Zhong, Keda Pan, et al.
Expert Systems with Applications (2021) Vol. 177, pp. 114941-114941
Closed Access | Times Cited: 67
Benchmarking physics-informed machine learning-based short term PV-power forecasting tools
Daniel Vázquez Pombo, Peder Bacher, Charalampos Ziras, et al.
Energy Reports (2022) Vol. 8, pp. 6512-6520
Open Access | Times Cited: 43
Systematic Review on Impact of Different Irradiance Forecasting Techniques for Solar Energy Prediction
Konduru Sudharshan, C. Naveen, Pradeep Vishnuram, et al.
Energies (2022) Vol. 15, Iss. 17, pp. 6267-6267
Open Access | Times Cited: 39
Short-term PV power forecast methodology based on multi-scale fluctuation characteristics extraction
Jiebei Zhu, Mingrui Li, Lin Luo, et al.
Renewable Energy (2023) Vol. 208, pp. 141-151
Closed Access | Times Cited: 25
Stochastic economic dispatch of wind power under uncertainty using clustering-based extreme scenarios
S. Bhavsar, R. Pitchumani, Jonathan Maack, et al.
Electric Power Systems Research (2024) Vol. 229, pp. 110158-110158
Open Access | Times Cited: 12
Day-ahead Numerical Weather Prediction solar irradiance correction using a clustering method based on weather conditions
Weijing Dou, Kai Wang, Shuo Shan, et al.
Applied Energy (2024) Vol. 365, pp. 123239-123239
Closed Access | Times Cited: 10
A review of PV power forecasting using machine learning techniques
Manvi Gupta, Archie Arya, U. Varshney, et al.
Deleted Journal (2025), pp. 100058-100058
Closed Access | Times Cited: 1
A Hybrid Model for Short-term PV Output Forecasting Based on PCA-GWO-GRNN
Leijiao Ge, Yiming Xian, Jun Yan, et al.
Journal of Modern Power Systems and Clean Energy (2020) Vol. 8, Iss. 6, pp. 1268-1275
Open Access | Times Cited: 67
A review of machine learning applications in IoT-integrated modern power systems
Matin Farhoumandi, Quan Zhou, Mohammad Shahidehpour
The Electricity Journal (2020) Vol. 34, Iss. 1, pp. 106879-106879
Closed Access | Times Cited: 58
A taxonomical review on recent artificial intelligence applications to PV integration into power grids
Cong Feng, Yuanzhi Liu, Jie Zhang
International Journal of Electrical Power & Energy Systems (2021) Vol. 132, pp. 107176-107176
Closed Access | Times Cited: 53
A Novel Model-Free Deep Reinforcement Learning Framework for Energy Management of a PV Integrated Energy Hub
Amirhossein Dolatabadi, Hussein Abdeltawab, Yasser Abdel‐Rady I. Mohamed
IEEE Transactions on Power Systems (2022) Vol. 38, Iss. 5, pp. 4840-4852
Closed Access | Times Cited: 35
Intermittent solar power hybrid forecasting system based on pattern recognition and feature extraction
Yue Yu, Tong Niu, Jianzhou Wang, et al.
Energy Conversion and Management (2022) Vol. 277, pp. 116579-116579
Closed Access | Times Cited: 30
Day-ahead photovoltaic power forecasting using hybrid K-Means++ and improved deep neural network
Xiaoyang Lu
Measurement (2023) Vol. 220, pp. 113208-113208
Closed Access | Times Cited: 18
Deep Reinforcement Learning-Based Self-Scheduling Strategy for a CAES-PV System Using Accurate Sky Images-Based Forecasting
Amirhossein Dolatabadi, Hussein Abdeltawab, Yasser Abdel‐Rady I. Mohamed
IEEE Transactions on Power Systems (2022) Vol. 38, Iss. 2, pp. 1608-1618
Closed Access | Times Cited: 23
Artificial intelligence and digital twins in power systems: Trends, synergies and opportunities
Zhiwei Shen, Felipe Arraño-Vargas, Georgios Konstantinou
Digital Twin (2023) Vol. 2, pp. 11-11
Open Access | Times Cited: 13
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