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Journal Articles

Short-Term Solar Irradiance Forecasting Using CNN-1D, LSTM, and CNN-LSTM Deep Neural Networks: A Case Study With the Folsom (USA) Dataset

Felipe P. Marinho, Paulo A. C. Rocha, Ajalmar R. R. Neto, Francisco D. V. Bezerra

J. Sol. Energy Eng. August 2023, 145(4): 041002.

Paper No: SOL-22-1144

https://doi.org/10.1115/1.4056122

Published Online: November 25, 2022

View Article titled, Short-Term Solar Irradiance Forecasting Using CNN-1D, LSTM, and CNN-LSTM Deep Neural Networks: A Case Study With the Folsom (USA) Dataset

Topics: Artificial neural networks, Errors, Molecular beam epitaxy, Solar radiation, Time series, Solar energy

Journal Articles

A Virtual Dual-Ripple Suppression Strategy of Double Fed Wind Turbine Under Wind Shear

Zhiyong Li, Jiahua Pi, Yuan Cao, Xin Wang

J. Sol. Energy Eng. June 2023, 145(3): 031010.

Paper No: SOL-22-1059

https://doi.org/10.1115/1.4056038

Published Online: November 23, 2022

View Article titled, A Virtual Dual-Ripple Suppression Strategy of Double Fed Wind Turbine Under Wind Shear

Topics: Artificial neural networks, Filters, Rotors, Torque, Wind shear, Wind turbines, Signals, Generators

Journal Articles

Estimating Radiation Scattering Around Plasmonic Nanowires Using Engineered Geometric Features

Mine Kaya, Shima Hajimirza

J. Sol. Energy Eng. June 2023, 145(3): 031008.

Paper No: SOL-21-1412

https://doi.org/10.1115/1.4055994

Published Online: November 11, 2022

View Article titled, Estimating Radiation Scattering Around Plasmonic Nanowires Using Engineered Geometric Features

Topics: Electromagnetic scattering, Light scattering, Nanoscale phenomena, Nanowires, Radiation (Physics), Radiation scattering, Shapes, Wavelength, Cross section (Physics), Particulate matter

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

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

Topics: Artificial neural networks, Brightness (Photometry), Solar radiation, Support vector machines, Sensitivity analysis, Machine learning, Modeling

Journal Articles

A Comparative Analysis of Artificial Neural Networks for Photovoltaic Power Forecast Using Remotes and Local Measurements

Sofia M. A. Lopes, Elmer P. T. Cari, Shima Hajimirza

J. Sol. Energy Eng. April 2022, 144(2): 021007.

Paper No: SOL-21-1229

https://doi.org/10.1115/1.4053031

Published Online: December 22, 2021

View Article titled, A Comparative Analysis of Artificial Neural Networks for Photovoltaic Power Forecast Using Remotes and Local Measurements

Topics: Artificial neural networks, Photovoltaic power systems

Journal Articles

Modeling and Maximum Power Tracking of a Solar-Wind Microgeneration System

Pedro H. T. de M. de Oliveira, Téo Cerqueira Revoredo

J. Sol. Energy Eng. April 2022, 144(2): 021003.

Paper No: SOL-21-1138

https://doi.org/10.1115/1.4052552

Published Online: October 19, 2021

View Article titled, Modeling and Maximum Power Tracking of a Solar-Wind Microgeneration System

Topics: Algorithms, Artificial neural networks, Control equipment, Modeling, Photovoltaic panels, Solar wind, Wind, Wind turbines, Wind velocity, Temperature

Journal Articles

Review on Photovoltaic Power and Solar Resource Forecasting: Current Status and Trends

Tatiane Carolyne Carneiro, Paulo Cesar Marques de Carvalho, Heron Alves dos Santos, Marcello Anderson Ferreira Batista Lima, Arthur Plinio de Souza Braga

J. Sol. Energy Eng. February 2022, 144(1): 010801.

Paper No: SOL-21-1106

https://doi.org/10.1115/1.4051652

Published Online: July 16, 2021

View Article titled, Review on Photovoltaic Power and Solar Resource Forecasting: Current Status and Trends

Topics: Irradiation (Radiation exposure), Solar energy, Artificial neural networks, Errors

Journal Articles

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

Tamer Khatib, Rezeq Direya, Asmaa Said

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

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

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

Topics: Artificial neural networks, Machine learning, Solar radiation, Errors, Solar energy, Renewable energy

Journal Articles

Optimization of NARX Neural Models Using Particle Swarm Optimization and Genetic Algorithms Applied to Identification of Photovoltaic Systems

Ronnyel Carlos Cunha Silva, José Maria Pires de Menezes Júnior, José Medeiros de Araújo Júnior

J. Sol. Energy Eng. October 2021, 143(5): 051001.

Paper No: SOL-20-1393

https://doi.org/10.1115/1.4049718

Published Online: February 12, 2021

View Article titled, Optimization of NARX Neural Models Using Particle Swarm Optimization and Genetic Algorithms Applied to Identification of Photovoltaic Systems

Topics: Artificial neural networks, Optimization, Particle swarm optimization, Photovoltaic power systems, Echoes, Algorithms, Optimization algorithms, Genetic algorithms

Journal Articles

Application of Artificial Intelligence Techniques in Prediction of Energetic Performance of a Hybrid System Consisting of an Earth-Air Heat Exchanger and a Building-Integrated Photovoltaic/Thermal System

Amin Shahsavar, Seyed Amin Bagherzadeh, Masoud Afrand

J. Sol. Energy Eng. October 2021, 143(5): 051002.

Paper No: SOL-20-1054

https://doi.org/10.1115/1.4049867

Published Online: February 12, 2021

View Article titled, Application of Artificial Intelligence Techniques in Prediction of Energetic Performance of a Hybrid System Consisting of an Earth-Air Heat Exchanger and a Building-Integrated Photovoltaic/Thermal System

Topics: Artificial neural networks, Heat exchangers, Support vector machines, Temperature, Artificial intelligence, Thermal systems

Journal Articles

A Novel Combination Algorithm of Different Methods of Maximum Power Point Tracking for Grid-Connected Photovoltaic Systems

Mahmoud N. Ali

J. Sol. Energy Eng. August 2021, 143(4): 041003.

Paper No: SOL-20-1076

https://doi.org/10.1115/1.4049065

Published Online: November 20, 2020

View Article titled, A Novel Combination Algorithm of Different Methods of Maximum Power Point Tracking for Grid-Connected Photovoltaic Systems

Topics: Algorithms, Artificial neural networks, Photovoltaic power systems, Fuzzy logic, Cycles

Journal Articles

Day-Ahead Wind Power Forecast Through High-Resolution Mesoscale Model: Local Computational Fluid Dynamics Versus Artificial Neural Network Downscaling

Matteo Mana, Davide Astolfi, Francesco Castellani, Cathérine Meißner

J. Sol. Energy Eng. June 2020, 142(3): 034502.

Paper No: SOL-18-1429

https://doi.org/10.1115/1.4045740

Published Online: January 21, 2020

View Article titled, Day-Ahead Wind Power Forecast Through High-Resolution Mesoscale Model: Local Computational Fluid Dynamics Versus Artificial Neural Network Downscaling

Topics: Artificial neural networks, Computational fluid dynamics, Resolution (Optics), Wind, Wind farms, Wind turbines, Energy generation, Weather forecasting, Wind power forecasting

Journal Articles

Solar Irradiance Fluctuation Prediction Methodology Using Artificial Neural Networks

Jane Oktavia Kamadinata, Tan Lit Ken, Tohru Suwa

J. Sol. Energy Eng. June 2020, 142(3): 031003.

Paper No: SOL-19-1206

https://doi.org/10.1115/1.4045315

Published Online: November 26, 2019

View Article titled, Solar Irradiance Fluctuation Prediction Methodology Using Artificial Neural Networks

Topics: Artificial neural networks, Solar radiation, Errors, Solar energy

Journal Articles

Application of Generalized Regression Neural Network in Predicting the Performance of Natural Convection Solar Dryer

M. Sridharan

J. Sol. Energy Eng. June 2020, 142(3): 031002.

Paper No: SOL-19-1323

https://doi.org/10.1115/1.4045384

Published Online: November 26, 2019

View Article titled, Application of Generalized Regression Neural Network in Predicting the Performance of Natural Convection Solar Dryer

Topics: Artificial neural networks, Drying, Solar energy, Temperature, Natural convection

Journal Articles

Daily Surface Solar Radiation Prediction Mapping Using Artificial Neural Network: The Case Study of Reunion Island

Peng Li, Miloud Bessafi, Beatrice Morel, Jean-Pierre Chabriat, Mathieu Delsaut, Qi Li

J. Sol. Energy Eng. April 2020, 142(2): 021009.

Paper No: SOL-19-1133

https://doi.org/10.1115/1.4045274

Published Online: November 8, 2019

View Article titled, Daily Surface Solar Radiation Prediction Mapping Using Artificial Neural Network: The Case Study of Reunion Island

Topics: Artificial neural networks, Solar radiation, Wavelets, Principal component analysis, Dynamic light scattering

Journal Articles

Determination of Mars Solar-Belt by Modeling of Solar Radiation Using Artificial Neural Networks

Tamer Khatib, Irjuwan Abunajeeb, Zainab Heneni

J. Sol. Energy Eng. February 2020, 142(1): 011007.

Paper No: SOL-18-1525

https://doi.org/10.1115/1.4044304

Published Online: July 31, 2019

View Article titled, Determination of Mars Solar-Belt by Modeling of Solar Radiation Using Artificial Neural Networks

Topics: Artificial neural networks, Solar radiation, Solar energy, Radiation (Physics), Belts, Modeling, Dust, Temperature

Journal Articles

Estimation of Solar Potential for Thailand Using Adaptive Neurofuzzy Inference System Models

Jirasuwankul Nirudh, Jiriwibhakorn Somchat

J. Sol. Energy Eng. December 2019, 141(6): 061009.

Paper No: SOL-18-1590

https://doi.org/10.1115/1.4043826

Published Online: June 5, 2019

View Article titled, Estimation of Solar Potential for Thailand Using Adaptive Neurofuzzy Inference System Models

Topics: Artificial neural networks, Meteorology, Modeling, Solar energy, Solar radiation, Testing, Errors

Journal Articles

Optimization of the Taper/Twist Stacking Axis Location of NREL VI Wind Turbine Rotor Blade Using Neural Networks Based on Computational Fluid Dynamics Analyses

Mustafa Kaya, Munir Elfarra

J. Sol. Energy Eng. February 2019, 141(1): 011011.

Paper No: SOL-18-1067

https://doi.org/10.1115/1.4041102

Published Online: September 14, 2018

View Article titled, Optimization of the Taper/Twist Stacking Axis Location of NREL VI Wind Turbine Rotor Blade Using Neural Networks Based on Computational Fluid Dynamics Analyses

Topics: Artificial neural networks, Blades, Computational fluid dynamics, Optimization, Rotors, Thrust, Torque, Wind turbines, Flow (Dynamics)

Journal Articles

Online Sequential Learning of Neural Networks in Solar Radiation Modeling Using Hybrid Bayesian Hierarchical Approach

Sajid Hussain, Ali AlAlili

J. Sol. Energy Eng. December 2016, 138(6): 061012.

Paper No: SOL-16-1057

https://doi.org/10.1115/1.4034907

Published Online: October 18, 2016

View Article titled, Online Sequential Learning of Neural Networks in Solar Radiation Modeling Using Hybrid Bayesian Hierarchical Approach

Topics: Artificial neural networks, Modeling, Noise (Sound), Solar radiation, Solar energy, Time series, Algorithms, Engineering simulation, Simulation, Filters

Journal citation

NARROW

Short-Term Solar Irradiance Forecasting Using CNN-1D, LSTM, and CNN-LSTM Deep Neural Networks: A Case Study With the Folsom (USA) Dataset

A Virtual Dual-Ripple Suppression Strategy of Double Fed Wind Turbine Under Wind Shear

Estimating Radiation Scattering Around Plasmonic Nanowires Using Engineered Geometric Features

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

A Comparative Analysis of Artificial Neural Networks for Photovoltaic Power Forecast Using Remotes and Local Measurements

Modeling and Maximum Power Tracking of a Solar-Wind Microgeneration System

Review on Photovoltaic Power and Solar Resource Forecasting: Current Status and Trends

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

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

Optimization of NARX Neural Models Using Particle Swarm Optimization and Genetic Algorithms Applied to Identification of Photovoltaic Systems

Application of Artificial Intelligence Techniques in Prediction of Energetic Performance of a Hybrid System Consisting of an Earth-Air Heat Exchanger and a Building-Integrated Photovoltaic/Thermal System

A Novel Combination Algorithm of Different Methods of Maximum Power Point Tracking for Grid-Connected Photovoltaic Systems

Day-Ahead Wind Power Forecast Through High-Resolution Mesoscale Model: Local Computational Fluid Dynamics Versus Artificial Neural Network Downscaling

Solar Irradiance Fluctuation Prediction Methodology Using Artificial Neural Networks

Application of Generalized Regression Neural Network in Predicting the Performance of Natural Convection Solar Dryer

Daily Surface Solar Radiation Prediction Mapping Using Artificial Neural Network: The Case Study of Reunion Island

Determination of Mars Solar-Belt by Modeling of Solar Radiation Using Artificial Neural Networks

Estimation of Solar Potential for Thailand Using Adaptive Neurofuzzy Inference System Models

Optimization of the Taper/Twist Stacking Axis Location of NREL VI Wind Turbine Rotor Blade Using Neural Networks Based on Computational Fluid Dynamics Analyses

Online Sequential Learning of Neural Networks in Solar Radiation Modeling Using Hybrid Bayesian Hierarchical Approach

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