Machine learning applications for photovoltaics

Conference - ACDC

Investigating the performance of non-standard cell configurations for reconfigurable solar modules under varying shading conditions

33rd International Photovoltaic Science and Engineering Conference, 2022

M. Lima, B. Wright, Z. Hameiri

n/a

Conference - ACDC

Machine learning-powered module end-of-life decision making based on luminescence images

33rd International Photovoltaic Science and Engineering Conference, 2022

B. Wright, Z. Hameiri

n/a

Poster

Conference - ACDC

Modelling the dynamics of charge extraction transients from organic photovoltaic devices using generative representation learning

33rd International Photovoltaic Science and Engineering Conference, 2022

B. Wright, Z. Hameiri, A. Mozer

n/a

Conference - ACDC

Using machine learning to predict the complete degradation of accelerated damp heat testing in just 10% of testing time

49th IEEE Photovoltaic Specialists Conference, 2022

Z. Abdullah-Vetter, P. Dwivedi, R.L. Chin, B. Wright, T. Trupke, Z. Hameiri

Link

Poster

Won - Best Poster Award

Conference - ACDC

Automated analysis of internal quantum efficiency using chain order regression

49th IEEE Photovoltaic Specialists Conference, 2022

Z. Abdullah-Vetter, P. Dwivedi, Y. Buratti, A. Krzywicki, A. Sowmya, T. Trupke, Z. Hameiri

Link

Poster

Nominated - Best Poster Award

Conference - ACDC

A deep learning approach to increase luminescence image resolution of solar cells

49th IEEE Photovoltaic Specialists Conference, 2022

P. Dwivedi, R.L. Chin, T. Trupke, Z. Hameiri

Link

Poster

Conference - ACDC

A deep learning approach to denoise electroluminescence images of solar cells

49th IEEE Photovoltaic Specialists Conference, 2022

G. Liu, P. Dwivedi, T. Trupke, Z. Hameiri

Link

Video Presentation

Nominated - Best Student Paper Award

Conference - ACDC

Simplified analysis of internal quantum efficiency using machine learning

Asia-Pacific Solar Research Conference, 2021

Z. Abdullah-Vetter, P. Dwivedi, Y. Buratti, A. Krzywicki, A. Sowmya, T. Trupke, Z. Hameiri

Link

Conference - ACDC

A review of deep learning for defects classification in silicon cells and modules from luminescence images

Asia-Pacific Solar Research Conference, 2021

Y. Buratti, Z. Abdullah-Vetter, G.M.N. Javier, P. Dwivedi, T. Trupke, Z. Hameiri

Link

Conference - ACDC

High-resolution luminescence imaging using deep learning

Asia-Pacific Solar Research Conference, 2021

P. Dwivedi, R.L. Chin, T. Trupke, Z. Hameiri

Link

A dynamic calibration method for injection-dependent charge carrier lifetime measurements

A dynamic calibration method for injection-dependent charge carrier lifetime measurements

A dynamic calibration method for injection-dependent charge carrier lifetime measurements

Machine learning applications for photovoltaics

Conference - ACDC

Investigating the performance of non-standard cell configurations for reconfigurable solar modules under varying shading conditions

Conference - ACDC

Machine learning-powered module end-of-life decision making based on luminescence images

Conference - ACDC

Modelling the dynamics of charge extraction transients from organic photovoltaic devices using generative representation learning

Conference - ACDC

Using machine learning to predict the complete degradation of accelerated damp heat testing in just 10% of testing time

Won - Best Poster Award

Conference - ACDC

Automated analysis of internal quantum efficiency using chain order regression

Nominated - Best Poster Award

Conference - ACDC

A deep learning approach to increase luminescence image resolution of solar cells

Conference - ACDC

A deep learning approach to denoise electroluminescence images of solar cells

Nominated - Best Student Paper Award

Conference - ACDC

Simplified analysis of internal quantum efficiency using machine learning

Conference - ACDC

A review of deep learning for defects classification in silicon cells and modules from luminescence images

Conference - ACDC

High-resolution luminescence imaging using deep learning

Machine learning applications for photovoltaics

Conference - ACDC

Investigating the performance of non-standard cell configurations for reconfigurable solar modules under varying shading conditions

​

Conference - ACDC

Machine learning-powered module end-of-life decision making based on luminescence images

​

Conference - ACDC

Modelling the dynamics of charge extraction transients from organic photovoltaic devices using generative representation learning

​

Conference - ACDC

Using machine learning to predict the complete degradation of accelerated damp heat testing in just 10% of testing time

Won - Best Poster Award

Conference - ACDC

Automated analysis of internal quantum efficiency using chain order regression

Nominated - Best Poster Award

Conference - ACDC

A deep learning approach to increase luminescence image resolution of solar cells

​

Conference - ACDC

A deep learning approach to denoise electroluminescence images of solar cells

Nominated - Best Student Paper Award

Conference - ACDC

Simplified analysis of internal quantum efficiency using machine learning

​

Conference - ACDC

A review of deep learning for defects classification in silicon cells and modules from luminescence images

​

Conference - ACDC

High-resolution luminescence imaging using deep learning

​