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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:

A novel integrated photovoltaic power forecasting model based on variational mode decomposition and CNN-BiGRU considering meteorological variables
Chu Zhang, Peng Tian, Muhammad Shahzad Nazir
Electric Power Systems Research (2022) Vol. 213, pp. 108796-108796
Closed Access | Times Cited: 70

Showing 26-50 of 70 citing articles:

Revolutionizing solar-hydro-wind power forecasts in regional power systems with hybrid machine learning models
Yan Tang, Yanlai Zhou, Pan Liu, et al.
Solar Energy (2025) Vol. 291, pp. 113391-113391
Closed Access
Global control of electrical supply: A variational mode decomposition-aided deep learning model for energy consumption prediction
A. A. Masrur Ahmed, Nadjem Bailek, Laith Abualigah, et al.
Energy Reports (2023) Vol. 10, pp. 2152-2165
Open Access | Times Cited: 14
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 network training approach for solving sample imbalance problem in wind power prediction
Anbo Meng, Zikang Xian, Hao Yin, et al.
Energy Conversion and Management (2023) Vol. 283, pp. 116935-116935
Closed Access | Times Cited: 13
Benefit compensation of hydropower-wind-photovoltaic complementary operation in the large clean energy base
Zhiqiang Jing, Yimin Wang, Jianxia Chang, et al.
Applied Energy (2023) Vol. 354, pp. 122040-122040
Closed Access | Times Cited: 13
Short-term prediction of PV power based on fusions of power series and ramp series
Xianjun Qi, Qiang Chen, Jingjing Zhang
Electric Power Systems Research (2023) Vol. 222, pp. 109499-109499
Closed Access | Times Cited: 12
A Novel Convolutional Neural Net Architecture Based on Incorporating Meteorological Variable Inputs into Ultra-Short-Term Photovoltaic Power Forecasting
Xiaoying Ren, Fei Zhang, Junshuai Yan, et al.
Sustainability (2024) Vol. 16, Iss. 7, pp. 2786-2786
Open Access | Times Cited: 4
Enhanced Load Forecasting for Distributed Multi-Energy System: A Stacking Ensemble Learning Method With Deep Reinforcement Learning And Model Fusion
Xiaoxiao Ren, Xin Tian, Kai Wang, et al.
(2025)
Closed Access
TBFL: blockchain-enabled trusted byzantine-robust federated learning framework for photovoltaic power generation forecasting
Yan Zhang, Liangliang Wang, Yiyuan Luo, et al.
The Computer Journal (2025)
Closed Access
Short-term Distributed Photovoltaic Power Prediction Based on Temporal Self-Attention Mechanism and Advanced Signal Decomposition Techniques with Feature Fusion
Huapeng Lin, Liyuan Gao, Mingtao Cui, et al.
Energy (2025), pp. 134395-134395
Closed Access
Short-term photovoltaic power prediction with CPO-BILSTM based on quadratic decomposition
Jinjiang Zhang, Tian-Le Sun, Xiaolong Guo, et al.
Electric Power Systems Research (2025) Vol. 243, pp. 111511-111511
Closed Access
Enhanced load forecasting for distributed multi-energy system: A stacking ensemble learning method with deep reinforcement learning and model fusion
Xiaoxiao Ren, Xin Tian, Kai Wang, et al.
Energy (2025), pp. 135031-135031
Closed Access
A Hybrid Neural Network Model for Short-Term Wind Speed Forecasting
Sheng-Xiang Lv, Lin Wang, Sirui Wang
Energies (2023) Vol. 16, Iss. 4, pp. 1841-1841
Open Access | Times Cited: 11
Distributed generator configuration calibration method based on TCN-BiGRU-Attention algorithm
Yidong Zhu, Shihong Chen, Zuoxia Xing, et al.
Electric Power Systems Research (2024) Vol. 230, pp. 110248-110248
Closed Access | Times Cited: 3
A novel hybrid model based on multiple influencing factors and temporal convolutional network coupling ReOSELM for wind power prediction
Yida Ge, Chu Zhang, Yiwei Wang, et al.
Energy Conversion and Management (2024) Vol. 313, pp. 118632-118632
Closed Access | Times Cited: 3
WOA-VMD-SCINet: Hybrid model for accurate prediction of ultra-short-term Photovoltaic generation power considering seasonal variations
Zhao Yonghui, Xunhui Peng, Teng Tu, et al.
Energy Reports (2024) Vol. 12, pp. 3470-3487
Open Access | Times Cited: 3
Short-Term Photovoltaic Power Forecasting Based on a Novel Autoformer Model
Yuanshao Huang, Yonghong Wu
Symmetry (2023) Vol. 15, Iss. 1, pp. 238-238
Open Access | Times Cited: 10
A Photovoltaic Power Prediction Approach Based on Data Decomposition and Stacked Deep Learning Model
Lisang Liu, Kaiqi Guo, Jian Chen, et al.
Electronics (2023) Vol. 12, Iss. 13, pp. 2764-2764
Open Access | Times Cited: 9
Short-term multi-step forecasting of rooftop solar power generation using a combined data decomposition and deep learning model of EEMD-GRU
Nam Nguyen Vu Nhat, Duc Nguyen Huu, Thi Hoai Thu Nguyen
Journal of Renewable and Sustainable Energy (2024) Vol. 16, Iss. 1
Open Access | Times Cited: 3
Multivariate Strategy Using Artificial Neural Networks for Seasonal Photovoltaic Generation Forecasting
Max Olinto Moreira, Betânia Mafra Kaizer, Takaaki Ohishi, et al.
Energies (2022) Vol. 16, Iss. 1, pp. 369-369
Open Access | Times Cited: 13
RSMD-RF-BGSkip Based PV Generation Prediction Method
Guomin Xie, Zhongbao Lin
IEEE Access (2024) Vol. 12, pp. 65799-65809
Open Access | Times Cited: 2
Short-term air quality prediction using point and interval deep learning systems coupled with multi-factor decomposition and data-driven tree compression
Jinxing Che, Kun Hu, Wenxin Xia, et al.
Applied Soft Computing (2024) Vol. 166, pp. 112191-112191
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
Data-augmented trend-fluctuation representations by interpretable contrastive learning for wind power forecasting
Yongning Zhao, Haohan Liao, Yuan Zhao, et al.
Applied Energy (2024) Vol. 380, pp. 125052-125052
Closed Access | Times Cited: 2
An Ultra-Short-Term PV Power Forecasting Method for Changeable Weather Based on Clustering and Signal Decomposition
Jiaan Zhang, Hao Yan, Ruiqing Fan, et al.
Energies (2023) Vol. 16, Iss. 7, pp. 3092-3092
Open Access | Times Cited: 6

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