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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:

Deep learning neural networks for short-term photovoltaic power forecasting
A. Mellit, Alessandro Pavan, Vanni Lughi
Renewable Energy (2021) Vol. 172, pp. 276-288
Closed Access | Times Cited: 241

Showing 26-50 of 241 citing articles:

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
Enhancement of LSTM models based on data pre-processing and optimization of Bayesian hyperparameters for day-ahead photovoltaic generation prediction
Reinier Herrera Casanova, Arturo Conde Enrı́quez
Computers & Electrical Engineering (2024) Vol. 116, pp. 109162-109162
Closed Access | Times Cited: 11
Harnessing AI for solar energy: Emergence of transformer models
Muhammad Fainan Hanif, Jianchun Mi
Applied Energy (2024) Vol. 369, pp. 123541-123541
Closed Access | Times Cited: 11
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
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 | Times Cited: 1
Short-term photovoltaic power prediction based on RF-SGMD-GWO-BiLSTM hybrid models
Shaomei Yang, Y. Luo
Energy (2025), pp. 134545-134545
Closed Access | Times Cited: 1
Probabilistic Forecasting of Provincial Regional Wind Power Considering Spatio-Temporal Features
Gang Li, Chen Lin, Yupeng Li
Energies (2025) Vol. 18, Iss. 3, pp. 652-652
Open Access | Times Cited: 1
A multiscale network with mixed features and extended regional weather forecasts for predicting short-term photovoltaic power
Ruoyang Zhang, Yu Wu, Lei Zhang, et al.
Energy (2025), pp. 134792-134792
Closed Access | Times Cited: 1
Parallel TimesNet-BiLSTM model for ultra-short-term photovoltaic power forecasting using STL decomposition and auto-tuning
Jianqiang Gong, Zhiguo Qu, Zhiyu Zhu, et al.
Energy (2025), pp. 135286-135286
Closed Access | Times Cited: 1
Sliding window approach with first-order differencing for very short-term solar irradiance forecasting using deep learning models
Ankit Bhatt, Weerakorn Ongsakul, Nimal Madhu M., et al.
Sustainable Energy Technologies and Assessments (2021) Vol. 50, pp. 101864-101864
Closed Access | Times Cited: 45
A short-term prediction model to forecast power of photovoltaic based on MFA-Elman
Xinyu Ma, Xiaohong Zhang
Energy Reports (2022) Vol. 8, pp. 495-507
Open Access | Times Cited: 36
Short-Term PV Power Forecasting Using a Regression-Based Ensemble Method
Andi Abdul Halik Lateko, Hong‐Tzer Yang, Chao‐Ming Huang
Energies (2022) Vol. 15, Iss. 11, pp. 4171-4171
Open Access | Times Cited: 33
Deep learning based optimal energy management for photovoltaic and battery energy storage integrated home micro-grid system
Md Morshed Alam, Md. Habibur Rahman, Md. Faisal Ahmed, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 33
FCDT-IWBOA-LSSVR: An innovative hybrid machine learning approach for efficient prediction of short-to-mid-term photovoltaic generation
Liang Lu, Tiecheng Su, Yuxiang Gao, et al.
Journal of Cleaner Production (2022) Vol. 385, pp. 135716-135716
Closed Access | Times Cited: 32
An adaptive deep learning framework for day-ahead forecasting of photovoltaic power generation
Xing Luo, Dongxiao Zhang
Sustainable Energy Technologies and Assessments (2022) Vol. 52, pp. 102326-102326
Open Access | Times Cited: 29
Weighted fully-connected regression networks for one-day-ahead hourly photovoltaic power forecasting
Linfei Yin, Xinghui Cao, Dongduan Liu
Applied Energy (2022) Vol. 332, pp. 120527-120527
Closed Access | Times Cited: 29
Lithium-Ion Battery Remaining Useful Life Prediction Based on Hybrid Model
Xuliang Tang, Heng Wan, Weiwen Wang, et al.
Sustainability (2023) Vol. 15, Iss. 7, pp. 6261-6261
Open Access | Times Cited: 22
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
Multitasking recurrent neural network for photovoltaic power generation prediction
Hui Song, Nameer Al Khafaf, Ammar Mansoor Kamoona, et al.
Energy Reports (2023) Vol. 9, pp. 369-376
Open Access | Times Cited: 21
Solar power generation forecasting by a new hybrid cascaded extreme learning method with maximum relevance interaction gain feature selection
Gholamreza Memarzadeh, Farshid Keynia
Energy Conversion and Management (2023) Vol. 298, pp. 117763-117763
Closed Access | Times Cited: 21
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
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: 8
Random forest machine learning algorithm based seasonal multi‐step ahead short‐term solar photovoltaic power output forecasting
Sravankumar Jogunuri, F. T. Josh, Albert Alexander Stonier, et al.
IET Renewable Power Generation (2024)
Open Access | Times Cited: 7
PV Forecasting Model Development and Impact Assessment via Imputation of Missing PV Power Data
Dae-Sung Lee, Sung-Yong Son
IEEE Access (2024) Vol. 12, pp. 12843-12852
Open Access | Times Cited: 7
Advancing solar energy forecasting with modified ANN and light GBM learning algorithms
Muhammad Farhan Hanif, Muhammad Sabir Naveed, Mohamed Metwaly, et al.
AIMS energy (2024) Vol. 12, Iss. 2, pp. 350-386
Open Access | Times Cited: 7

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