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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:

An Integrated Missing-Data Tolerant Model for Probabilistic PV Power Generation Forecasting
Qiaoqiao Li, Yan Xu, Benjamin Si Hao Chew, et al.
IEEE Transactions on Power Systems (2022) Vol. 37, Iss. 6, pp. 4447-4459
Closed Access | Times Cited: 50

Showing 1-25 of 50 citing articles:

Ultra-Short-Term Distributed Photovoltaic Power Probabilistic Forecasting Method Based on Federated Learning and Joint Probability Distribution Modeling
Yübo Wang, Chao Huo, Fei Xu, et al.
Energies (2025) Vol. 18, Iss. 1, pp. 197-197
Open Access | Times Cited: 2
Memory long and short term time series network for ultra-short-term photovoltaic power forecasting
Congzhi Huang, Mengyuan Yang
Energy (2023) Vol. 279, pp. 127961-127961
Closed Access | Times Cited: 38
A cross-sectional survey of deterministic PV power forecasting: Progress and limitations in current approaches
Andreea Săbăduş, Robert Blaga, Sergiu-Mihai Hategan, et al.
Renewable Energy (2024) Vol. 226, pp. 120385-120385
Closed Access | Times Cited: 13
Empowering federated learning techniques for privacy-preserving PV forecasting
Vasilis Michalakopoulos, Efstathios Sarantinopoulos, Elissaios Sarmas, et al.
Energy Reports (2024) Vol. 12, pp. 2244-2256
Open Access | Times Cited: 9
A short-term probabilistic photovoltaic power prediction method based on feature selection and improved LSTM neural network
Ronghui Liu, Jiangchuan Wei, Gaiping Sun, et al.
Electric Power Systems Research (2022) Vol. 210, pp. 108069-108069
Closed Access | Times Cited: 31
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
A Novel Hybrid Transformer-Based Framework for Solar Irradiance Forecasting Under Incomplete Data Scenarios
Hanjin Zhang, B. Li, Shun‐Feng Su, et al.
IEEE Transactions on Industrial Informatics (2024) Vol. 20, Iss. 6, pp. 8605-8615
Closed Access | Times Cited: 7
A Review of State-of-the-Art and Short-Term Forecasting Models for Solar PV Power Generation
Wen-Chang Tsai, Chia-Sheng Tu, Chih-Ming Hong, et al.
Energies (2023) Vol. 16, Iss. 14, pp. 5436-5436
Open Access | Times Cited: 15
Towards Resilient Energy Forecasting: A Robust Optimization Approach
Akylas Stratigakos, Panagiotis Andrianesis, Andrea Michiorri, et al.
IEEE Transactions on Smart Grid (2023) Vol. 15, Iss. 1, pp. 874-885
Open Access | Times Cited: 13
AECF-UC: An Adaptive Electricity Consumption Forecast Approach for Universal Environments
Shiqi Zhou, Saisai Ni, Yifeng Han, et al.
Research Square (Research Square) (2025)
Closed Access
A Review of State-of-the-art and Short-Term Forecasting Models for Solar PV Power Generation
Wen-Chang Tsai, Chia-Sheng Tu, Chih-Ming Hong, et al.
(2023)
Open Access | Times Cited: 12
Spatiotemporal Generative Adversarial Imputation Networks: An Approach to Address Missing Data for Wind Turbines
Xuguang Hu, Zhaokang Zhan, Dazhong Ma, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-8
Closed Access | Times Cited: 11
A systematic review of machine learning applications in the operation of smart distribution systems
Terezija Matijašević, Tomislav Antić, Tomislav Capuder
Energy Reports (2022) Vol. 8, pp. 12379-12407
Open Access | Times Cited: 17
Imputation of missing measurements in PV production data within constrained environments
Iván de Paz Centeno, María Teresa Garcí­a-Ordás, Óscar García-Olalla, et al.
Expert Systems with Applications (2023) Vol. 217, pp. 119510-119510
Closed Access | Times Cited: 10
Evaluation method for insulation degradation of power transformer windings based on incomplete internet of things sensing data
Yuehan Qu, Hongshan Zhao, Shice Zhao, et al.
IET Science Measurement & Technology (2024) Vol. 18, Iss. 3, pp. 130-144
Open Access | Times Cited: 3
An Adaptive Approach for Probabilistic Wind Power Forecasting Based on Meta-Learning
Zichao Meng, Ye Guo, Hongbin Sun
IEEE Transactions on Sustainable Energy (2024) Vol. 15, Iss. 3, pp. 1814-1833
Open Access | Times Cited: 3
Probabilistic wind power forecasting resilient to missing values: An adaptive quantile regression approach
Honglin Wen
Energy (2024) Vol. 300, pp. 131544-131544
Open Access | Times Cited: 3
Short-Term Prediction of Rural Photovoltaic Power Generation Based on Improved Dung Beetle Optimization Algorithm
Jie Meng, Qing Yuan, Weiqi Zhang, et al.
Sustainability (2024) Vol. 16, Iss. 13, pp. 5467-5467
Open Access | Times Cited: 3
On the Forecastability of Solar Energy Generation by Rooftop Panels Pointed in Different Directions
Michał Jasiński, Omid Homaee, Daniel Opałkowski, et al.
IEEE Transactions on Sustainable Energy (2023) Vol. 15, Iss. 1, pp. 699-702
Closed Access | Times Cited: 7
Sky-Image-Derived Deep Decomposition for Ultra-Short-Term Photovoltaic Power Forecasting
Jingxuan Liu, Haixiang Zang, Tao Ding, et al.
IEEE Transactions on Sustainable Energy (2023) Vol. 15, Iss. 2, pp. 871-883
Closed Access | Times Cited: 7
TADNet: Temporal Attention Decomposition Networks for Probabilistic Energy Forecasting
Jiarui Ye, Bo Zhao, Derong Liu, et al.
IEEE Transactions on Power Systems (2024) Vol. 39, Iss. 6, pp. 7190-7202
Closed Access | Times Cited: 2
Multistep power load forecasting using iterative neural network-based prediction intervals
Shouping Guan, Chongyang Xu, Tianyi Guan
Computers & Electrical Engineering (2024) Vol. 119, pp. 109518-109518
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
Real-time hosting capacity assessment for electric vehicles: A sequential forecast-then-optimize method
Yingrui Zhuang, Lin Cheng, Ning Qi, et al.
Applied Energy (2024) Vol. 380, pp. 125034-125034
Closed Access | Times Cited: 1
Graph-Based Large Scale Probabilistic PV Power Forecasting Insensitive to Space-Time Missing Data
Keunju Song, Minsoo Kim, Hongseok Kim
IEEE Transactions on Sustainable Energy (2024) Vol. 16, Iss. 1, pp. 160-173
Closed Access | Times Cited: 1
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