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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:

Ultra-short-term multi-step probability interval prediction of photovoltaic power: A framework with time-series-segment feature analysis
Lei Zhang, Ye He, Hongbin Wu, et al.
Solar Energy (2023) Vol. 260, pp. 71-82
Closed Access | Times Cited: 22

Showing 22 citing articles:

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: 118
Short-term Interval Prediction Strategy of Photovoltaic Power Based on Meteorological Reconstruction with Spatiotemporal Correlation and Multi-factor Interval Constraints
Mao Yang, Yue Jiang, Wei Zhang, et al.
Renewable Energy (2024) Vol. 237, pp. 121834-121834
Closed Access | Times Cited: 25
Interpretable feature selection and deep learning for short-term probabilistic PV power forecasting in buildings using local monitoring data
Heng Zhou, Peijun Zheng, Jiuqing Dong, et al.
Applied Energy (2024) Vol. 376, pp. 124271-124271
Closed Access | Times Cited: 10
Efficient shrinkage temporal convolutional network model for photovoltaic power prediction
Min Wang, Congjun Rao, Xinping Xiao, et al.
Energy (2024) Vol. 297, pp. 131295-131295
Closed Access | Times Cited: 8
Short-term photovoltaic power prediction model based on hierarchical clustering of K-means++ algorithm and deep learning hybrid model
Man Wang, Xiaojing Ma, Ru Wang, et al.
Journal of Renewable and Sustainable Energy (2024) Vol. 16, Iss. 2
Closed Access | Times Cited: 6
A novel multi-step ahead solar power prediction scheme by deep learning on transformer structure
Fan Mo, Xuan Jiao, Xingshuo Li, et al.
Renewable Energy (2024) Vol. 230, pp. 120780-120780
Closed Access | Times Cited: 6
Short-Term Photovoltaic Power Forecasting Based on a Feature Rise-Dimensional Two-Layer Ensemble Learning Model
Hui Wang, Yan Su, Danyang Ju, et al.
Sustainability (2023) Vol. 15, Iss. 21, pp. 15594-15594
Open Access | Times Cited: 11
Distributed photovoltaic cluster output monitoring method based on time series data acquisition
Hua Ye, Xuegang Lu, Wei Zhang, et al.
Energy Informatics (2025) Vol. 8, Iss. 1
Open Access
Short-term photovoltaic power prediction model based on feature construction and improved Transformer
H L Tang, Feiyu Kang, Xinyu Li, et al.
Energy (2025), pp. 135213-135213
Closed Access
Multi-step short-term forecasting of photovoltaic power utilizing TimesNet with enhanced feature extraction and a novel loss function
Shengquan Yu, Bin He, Lei Fang
Applied Energy (2025) Vol. 388, pp. 125645-125645
Closed Access
Prediction of long-term photovoltaic power generation in the context of climate change
Zhenlu Liu, Junhong Guo, Xiaoxuan Wang, et al.
Renewable Energy (2024) Vol. 235, pp. 121263-121263
Closed Access | Times Cited: 2
Intra-hour photovoltaic power point-interval prediction using a dual-view deep neural network
Zhi-Ru Chen, Yulong Bai, Lin Ding, et al.
Expert Systems with Applications (2024), pp. 125368-125368
Closed Access | Times Cited: 2
Research on stacking ensemble method for day-ahead ultra-short-term prediction of photovoltaic power
Congcong Chen, Lin Chai, Qingling Wang
Renewable Energy (2024) Vol. 238, pp. 121853-121853
Closed Access | Times Cited: 2
A Short Term Multistep Forecasting Model for Photovoltaic Generation using Deep Learning Model
Lakshmi Palaparambil Dinesh, Nameer Al Khafaf, B. P. McGrath
Sustainable Operations and Computers (2024) Vol. 6, pp. 34-46
Open Access | Times Cited: 2
An Adaptive Photovoltaic Power Interval Prediction Based on Multi-Objective Optimization
Yunxiao Jiang, Xinyan Wang, Di Yang, et al.
(2024)
Closed Access | Times Cited: 1
Interval forecasting strategy of photovoltaic generation considering multi-factor self-fluctuation
Bo Zhang, Chunxia Dou, Dongmei Yuan, et al.
Electric Power Systems Research (2024) Vol. 234, pp. 110495-110495
Closed Access | Times Cited: 1
Short-Term Photovoltaic Power Forecasting Based on a Feature Rise-Dimensional Two-Layer Ensemble Learning Model
Hui Wang, Yan Su, Danyang Ju, et al.
(2023)
Open Access | Times Cited: 3
An adaptive photovoltaic power interval prediction based on multi-objective optimization
Yunxiao Jiang, Xinyan Wang, Di Yang, et al.
Computers & Electrical Engineering (2024) Vol. 120, pp. 109717-109717
Closed Access
A Photovoltaic Power Generation Forecasting and Monitoring System Based on Historical Data of Equipment
Liang Zhao, Guoyu Kuang, Ruobing Liang, et al.
(2024)
Closed Access
A Novel Multi-Step Ahead Solar Power Prediction Scheme Based on Transformer Structure
Fan Mo, Xuan Jiao, Xingshuo Li, et al.
(2024)
Closed Access
Short-Term Pv Power Interval Prediction Based on Hybrid Neural Networks Considering the Effect of Seasonal Differences
Junfeng XiangJunfeng
(2023)
Closed Access
A Photovoltaic Power Generation Forecasting and Monitoring System Based on Historical Data of Equipment
Liang Zhao, Guoyu Kuang, Ruobing Liang, et al.
(2023)
Closed Access
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