Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Forecasting solar energy production: A comparative study of machine learning algorithms
Younes Ledmaoui, Adila El Maghraoui, Mohamed El Aroussi, et al.
Energy Reports (2023) Vol. 10, pp. 1004-1012
Open Access | Times Cited: 54

Showing 1-25 of 54 citing articles:

A Comprehensive Review of the Current Status of Smart Grid Technologies for Renewable Energies Integration and Future Trends: The Role of Machine Learning and Energy Storage Systems
Mahmoud M. Kiasari, Mahdi Ghaffari, Hamed H. Aly
Energies (2024) Vol. 17, Iss. 16, pp. 4128-4128
Open Access | Times Cited: 16
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
Exploiting building information modeling and machine learning for optimizing rooftop photovoltaic systems
Gianni Di Giovanni, Marianna Rotilio, Letizia Giusti, et al.
Energy and Buildings (2024) Vol. 313, pp. 114250-114250
Open Access | Times Cited: 8
Forecasting of global solar radiation: A statistical approach using simulated annealing algorithm
Yusuf Alper Kaplan
Engineering Applications of Artificial Intelligence (2024) Vol. 136, pp. 109034-109034
Closed Access | Times Cited: 8
A Future Direction of Machine Learning for Building Energy Management: Interpretable Models
Luca Gugliermetti, Fabrizio Cumo, Sofia Agostinelli
Energies (2024) Vol. 17, Iss. 3, pp. 700-700
Open Access | Times Cited: 5
Solar power forecasting using domain knowledge
Rakesh Mondal, S.K. Roy, Chandan Giri
Energy (2024) Vol. 302, pp. 131709-131709
Closed Access | Times Cited: 5
Comparative Predictive Analysis through Machine Learning in Solar Cooking Technology
K. S. Chaudhari, Pramod V. Walke, Sagar Shelare
International journal of electrical and computer engineering systems (2024) Vol. 15, Iss. 6, pp. 543-552
Open Access | Times Cited: 5
Review of Recent Advances in Predictive Maintenance and Cybersecurity for Solar Plants
Younes Ledmaoui, Adila El Maghraoui, Mohamed El Aroussi, et al.
Sensors (2025) Vol. 25, Iss. 1, pp. 206-206
Open Access
SMART SYSTEM UNTUK PEMANTAUAN DAN OPTIMASI KINERJA PEMBANGKIT LISTRIK TENAGA SURYA
Erlan Taneza, Firdaus Firdaus
Transmisi Jurnal Ilmiah Teknik Elektro (2025) Vol. 1, Iss. 1, pp. 20-32
Open Access
Maintenance techniques to increase solar energy production: A review
Fernando Martínez-Gil, Christopher Sansom, Aránzazu Fernández-Garćıa, et al.
Energy Nexus (2025), pp. 100384-100384
Open Access
A comparative analysis of solar and conventional electricity in the dynamic climate of Kerala using machine learning
H. Ramesh, R. Ramesh, Rajesh Nair
AIP conference proceedings (2025) Vol. 3281, pp. 040020-040020
Closed Access
Deep learning for sensible cooling and heating loads associated with solar panels of residential buildings in arid climate
Abdulbasit Almhafdy, Amal A. Al-Shargabi
Smart and Sustainable Built Environment (2025)
Closed Access
Machine Learning and Weather Model Combination for PV Production Forecasting
Amedeo Buonanno, Giampaolo Caputo, Irena Balog, et al.
Energies (2024) Vol. 17, Iss. 9, pp. 2203-2203
Open Access | Times Cited: 4
Optimization of a photovoltaic/wind/battery energy-based microgrid in distribution network using machine learning and fuzzy multi-objective improved Kepler optimizer algorithms
Fude Duan, Mahdiyeh Eslami, Mohammad Khajehzadeh, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 4
SMART SYSTEM UNTUK PEMANTAUAN DAN OPTIMASI KINERJA PEMBANGKIT LISTRIK TENAGA SURYA
Erlan Taneza, Firdaus Firdaus
Transmisi Jurnal Ilmiah Teknik Elektro (2025) Vol. 27, Iss. 1, pp. 20-32
Open Access
BROWN BEAR OPTIMIZED RANDOM FOREST MODEL FOR SHORT TERM SOLAR POWER FORECASTING
Ravinder Kumar, Meera PS, V. Lavanya, et al.
Results in Engineering (2025), pp. 104583-104583
Open Access
Application of Artificial Intelligence and Machine Learning in Assessing Solar Energy Potential
Ajay Mittal
(2025), pp. 311-320
Closed Access
Solar Power Forecasting Using Hybrid Deep Learning Networks Combined with Variational Mode Decomposition
K. Natarajan, Jai Govind Singh
(2025), pp. 1-20
Closed Access
Comprehensive analysis of structural, electronic, optical, and thermoelectric properties of X2PtCl6 (X = K, Cs, Rb): A first-principles DFT study
Fahim Ahmed, Mushtaq Ali, Farhan Yousaf, et al.
Chemical Physics (2025), pp. 112717-112717
Closed Access
Hybrid machine learning model combining of CNN-LSTM-RF for time series forecasting of Solar Power Generation
Mobarak Abumohsen, Amani Yousef Owda, Majdi Owda, et al.
e-Prime - Advances in Electrical Engineering Electronics and Energy (2024) Vol. 9, pp. 100636-100636
Open Access | Times Cited: 3
Comparative Analysis of Machine Learning Models of Linear Fresnel solar collector
Rowida Meligy, Alaric Montenon, Hadeer A. Hassan
Renewable Energy (2024) Vol. 230, pp. 120865-120865
Closed Access | Times Cited: 3
Short-Term forecasting of floating photovoltaic power generation using machine learning models
Mohd Herwan Sulaiman, Mohd Shawal Jadin, Zuriani Mustaffa, et al.
Cleaner Energy Systems (2024) Vol. 9, pp. 100137-100137
Open Access | Times Cited: 3
Improved TLBO Algorithm for Optimal Energy Management in a Hybrid Microgrid with Support Vector Machine-based Forecasting of Uncertain Parameters
Raji Krishna, S. Hemamalini
Results in Engineering (2024), pp. 102992-102992
Open Access | Times Cited: 3
Predictive Maintenance with Machine Learning: A Comparative Analysis of Wind Turbines and PV Power Plants
Uhanto Uhanto, Erkata Yandri, Erik Hilmi, et al.
Heca Journal of Applied Sciences (2024) Vol. 2, Iss. 2, pp. 87-98
Closed Access | Times Cited: 3
Daily global solar radiation time series prediction using variational mode decomposition combined with multi-functional recurrent fuzzy neural network and quantile regression forests algorithm
Mohammed Abdallah, Babak Mohammadi, Hamid Nasiri, et al.
Energy Reports (2023) Vol. 10, pp. 4198-4217
Open Access | Times Cited: 9
Page 1 - Next Page

Scroll to top