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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: 68

Showing 1-25 of 68 citing articles:

Wind speed prediction by a swarm intelligence based deep learning model via signal decomposition and parameter optimization using improved chimp optimization algorithm
Leiming Suo, Peng Tian, Shihao Song, et al.
Energy (2023) Vol. 276, pp. 127526-127526
Closed Access | Times Cited: 67
Load forecasting for regional integrated energy system based on complementary ensemble empirical mode decomposition and multi-model fusion
Jian Shi, Jiashen Teh
Applied Energy (2023) Vol. 353, pp. 122146-122146
Closed Access | Times Cited: 50
An analysis of case studies for advancing photovoltaic power forecasting through multi-scale fusion techniques
Mawloud Guermoui, Amor Fezzani, Zaiani Mohamed, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 25
Decomposition aided attention-based recurrent neural networks for multistep ahead time-series forecasting of renewable power generation
Robertas Damaševičius, Luka Jovanovic, Aleksandar Petrović, et al.
PeerJ Computer Science (2024) Vol. 10, pp. e1795-e1795
Open Access | Times Cited: 23
A hybrid ensemble optimized BiGRU method for short-term photovoltaic generation forecasting
Yeming Dai, Weijie Yu, Mingming Leng
Energy (2024) Vol. 299, pp. 131458-131458
Closed 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
Hybrid Inception-embedded deep neural network ResNet for short and medium-term PV-Wind forecasting
Adeel Feroz Mirza, Majad Mansoor, Muhammad Usman, et al.
Energy Conversion and Management (2023) Vol. 294, pp. 117574-117574
Closed Access | Times Cited: 33
Short-term wind speed forecasting using an optimized three-phase convolutional neural network fused with bidirectional long short-term memory network model
Lionel Joseph, Ravinesh C. Deo, David Casillas-Pérez, et al.
Applied Energy (2024) Vol. 359, pp. 122624-122624
Open Access | Times Cited: 13
TFEformer: A new temporal frequency ensemble transformer for day-ahead photovoltaic power prediction
Chengming Yu, Ji Qiao, Chao Chen, et al.
Journal of Cleaner Production (2024) Vol. 448, pp. 141690-141690
Closed Access | Times Cited: 12
Modeling of high uncertainty photovoltaic generation in quasi dynamic power flow on distribution systems: A case study in Java Island, Indonesia
Jimmy Trio Putra, Sarjiya Sarjiya, M. Isnaeni Bambang Setyonegoro
Results in Engineering (2024) Vol. 21, pp. 101747-101747
Open Access | Times Cited: 11
A hybrid machine learning forecasting model for photovoltaic power
Zhijian Hou, Yunhui Zhang, Qian Liu, et al.
Energy Reports (2024) Vol. 11, pp. 5125-5138
Open Access | Times Cited: 9
Artificial Neural Networks for Photovoltaic Power Forecasting: A Review of Five Promising Models
Rafiq Asghar, Francesco Riganti Fulginei, Michele Quercio, et al.
IEEE Access (2024) Vol. 12, pp. 90461-90485
Open Access | Times Cited: 9
Towards energy efficiency: A comprehensive review of deep learning-based photovoltaic power forecasting strategies
Mauladdawilah Husein, Eulalia Jadraque Gago, Balfaqih Hasan, et al.
Heliyon (2024) Vol. 10, Iss. 13, pp. e33419-e33419
Open Access | Times Cited: 8
An Improved WOA (Whale Optimization Algorithm)-Based CNN-BIGRU-CBAM Model and Its Application to Short-Term Power Load Forecasting
Lei Dai, Haiying Wang
Energies (2024) Vol. 17, Iss. 11, pp. 2559-2559
Open Access | Times Cited: 7
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
Resource efficient PV power forecasting: Transductive transfer learning based hybrid deep learning model for smart grid in Industry 5.0
Umer Amir Khan, Noman Mujeeb Khan, Muhammad Hamza Zafar
Energy Conversion and Management X (2023) Vol. 20, pp. 100486-100486
Open Access | Times Cited: 19
Multi-objective optimal dispatching of combined cooling, heating and power using hybrid gravitational search algorithm and random forest regression: Towards the microgrid orientation
Muhammad Shahzad Nazir, Fahad M. Almasoudi, Ahmed N. Abdalla, et al.
Energy Reports (2023) Vol. 9, pp. 1926-1936
Open Access | Times Cited: 18
An intelligent hybrid approach for photovoltaic power forecasting using enhanced chaos game optimization algorithm and Locality sensitive hashing based Informer model
Peng Tian, Yongyan Fu, Yuhan Wang, et al.
Journal of Building Engineering (2023) Vol. 78, pp. 107635-107635
Closed Access | Times Cited: 18
Short-term wind power prediction based on improved variational modal decomposition, least absolute shrinkage and selection operator, and BiGRU networks
Miaosen Hu, Guoqiang Zheng, Zhonge Su, et al.
Energy (2024) Vol. 303, pp. 131951-131951
Closed Access | Times Cited: 5
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
Exploring the landscape of deep learning for solar photovoltaic power output forecasting: A review
Dheeraj Kumar Dhaked, V. L. Narayanan, Ram Gopal, et al.
Renewable energy focus (2025), pp. 100682-100682
Closed Access
Short-Term Photovoltaic Power Forecasting Based on the VMD-IDBO-DHKELM Model
Shengli Wang, Xiaolong Guo, Tian-Le Sun, et al.
Energies (2025) Vol. 18, Iss. 2, pp. 403-403
Open Access
Adaptive Robust Optimal Scheduling of Combined Heat and Power Microgrids Based on Photovoltaic Mechanism/Data Fusion-Driven Power Prediction
Yueyang Xu, Yibo Wang, Chuang Liu, et al.
Energies (2025) Vol. 18, Iss. 3, pp. 732-732
Open Access
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