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Journal Articles

Machine Learning Versus Empirical Models to Predict Daily Global Solar Irradiation in an Average Year: Homogeneous Parallel Ensembles Prevailed

Keith De Souza
Journal: Journal of Solar Energy Engineering
Publisher: ASME
Article Type: Research Papers
J. Sol. Energy Eng. February 2025, 147(1): 011011.
Paper No: SOL-23-1336
https://doi.org/10.1115/1.4065978
Published Online: September 2, 2024
View Article titled, Machine Learning Versus Empirical Models to Predict Daily Global Solar Irradiation in an Average Year: Homogeneous Parallel Ensembles Prevailed
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Topics: Algorithms, Machine learning, Irradiation (Radiation exposure), Optimization, Machinery, Solar energy, Errors
Journal Articles

Predicting Vertical Daylight Illuminance Data From Measured Solar Irradiance: A Machine Learning-Based Luminous Efficacy Approach

Danny Hin Wa Li, Emmanuel Imuetinyan Aghimien
Journal: Journal of Solar Energy Engineering
Publisher: ASME
Article Type: Research Papers
J. Sol. Energy Eng. June 2023, 145(3): 031005.
Paper No: SOL-22-1133
https://doi.org/10.1115/1.4055915
Published Online: October 26, 2022
View Article titled, Predicting Vertical Daylight Illuminance Data From Measured Solar Irradiance: A Machine Learning-Based Luminous Efficacy Approach
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Topics: Artificial neural networks, Brightness (Photometry), Solar radiation, Support vector machines, Sensitivity analysis, Machine learning, Modeling
Journal Articles

Design and Performance Analyses of Evacuated U-Tube Solar Collector Using Data-Driven Machine Learning Models

Astarag Mohapatra, P. K. S. Tejes, Chatur Gembali, B. Kiran Naik
Journal: Journal of Solar Energy Engineering
Publisher: ASME
Article Type: Research Papers
J. Sol. Energy Eng. February 2023, 145(1): 011007.
Paper No: SOL-22-1021
https://doi.org/10.1115/1.4054852
Published Online: July 29, 2022
View Article titled, Design and Performance Analyses of Evacuated U-Tube Solar Collector Using Data-Driven Machine Learning Models
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Topics: Design, Errors, Machine learning, Optimization, Solar collectors, Temperature, Thermal energy, Solar energy, Heat transfer
Journal Articles

A Comparison Between Deep Learning and Support Vector Regression Techniques Applied to Solar Forecast in Spain

Marcello Anderson F. B. Lima, Luis M. Fernández Ramírez, Paulo C. M. Carvalho, Josias G. Batista, Deivid M. Freitas
Journal: Journal of Solar Energy Engineering
Publisher: ASME
Article Type: Review Articles
J. Sol. Energy Eng. February 2022, 144(1): 010802.
Paper No: SOL-21-1022
https://doi.org/10.1115/1.4051949
Published Online: August 16, 2021
View Article titled, A Comparison Between Deep Learning and Support Vector Regression Techniques Applied to Solar Forecast in Spain
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Topics: Errors, Solar energy, Support vector machines, Machine learning
Journal Articles

An Improved Method for Extracting Photovoltaic Module I – V Characteristic Curve Using Hybrid Learning Machine System

Tamer Khatib, Rezeq Direya, Asmaa Said
Journal: Journal of Solar Energy Engineering
Publisher: ASME
Article Type: Research Papers
J. Sol. Energy Eng. October 2021, 143(5): 051006.
Paper No: SOL-20-1352
https://doi.org/10.1115/1.4050349
Published Online: March 18, 2021
View Article titled, An Improved Method for Extracting Photovoltaic Module I – V Characteristic Curve Using Hybrid Learning Machine System
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Topics: Algorithms, Artificial neural networks, Circuits, Errors, Machinery, Solar cells, Solar radiation, Temperature, Testing, Molecular beam epitaxy
Journal Articles

Short-Term Prediction of Global Solar Radiation Energy Using Weather Data and Machine Learning Ensembles: A Comparative Study

Rami Al-Hajj, Ali Assi, Mohamad Fouad
Journal: Journal of Solar Energy Engineering
Publisher: ASME
Article Type: Research Papers
J. Sol. Energy Eng. October 2021, 143(5): 051003.
Paper No: SOL-20-1179
https://doi.org/10.1115/1.4049624
Published Online: February 23, 2021
View Article titled, Short-Term Prediction of Global Solar Radiation Energy Using Weather Data and Machine Learning Ensembles: A Comparative Study
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Topics: Artificial neural networks, Machine learning, Solar radiation, Errors, Solar energy, Renewable energy