Development of a Novel Web Application for Automatic Photovoltaic System Performance Analysis and Fault Identification. Phinikarides, A., Shimitra, C., Bourgeon, R., Koumparou, I., Makrides, G., & Georghiou, G. E In 43rd IEEE PVSC, pages 1736–1740, Portland, OR, USA, 2016.
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This paper details the development of the pvpaR (PV Performance Analysis in R) web application built on open-source technologies for the automated and user-friendly evaluation of photovoltaic (PV) system performance and identif cation and classification of faults. pvpaR's ecosystem is based on the R statistical computing project, both for the back-end as well as for the front-end which uses the Shiny web application framework. Currently, the core of the application incorporates models for synthesizing time-series of irradiance, module temperature, PV system voltage, current, DC and AC power. These are used to validate the imported field measurements and create the comparison which the fault identification function is dependent upon. The web application can currently import measurements from flat files and databases. It has been released under the GNU Affero GPL license to encourage contributions, with the goal to become a useful tool for the PV community and PV system owners.
@inproceedings{phinikaridesDevelopmentNovelWeb2016,
  title = {Development of a {{Novel Web Application}} for {{Automatic Photovoltaic System Performance Analysis}} and {{Fault Identification}}},
  booktitle = {43rd {{IEEE PVSC}}},
  author = {Phinikarides, Alexander and Shimitra, Christiana and Bourgeon, Robin and Koumparou, Ioannis and Makrides, George and Georghiou, George E},
  year = {2016},
  pages = {1736--1740},
  address = {{Portland, OR, USA}},
  doi = {10.1109/PVSC.2016.7749921},
  abstract = {This paper details the development of the pvpaR (PV Performance Analysis in R) web application built on open-source technologies for the automated and user-friendly evaluation of photovoltaic (PV) system performance and identif cation and classification of faults. pvpaR's ecosystem is based on the R statistical computing project, both for the back-end as well as for the front-end which uses the Shiny web application framework. Currently, the core of the application incorporates models for synthesizing time-series of irradiance, module temperature, PV system voltage, current, DC and AC power. These are used to validate the imported field measurements and create the comparison which the fault identification function is dependent upon. The web application can currently import measurements from flat files and databases. It has been released under the GNU Affero GPL license to encourage contributions, with the goal to become a useful tool for the PV community and PV system owners.},
  copyright = {All rights reserved},
  file = {/home/alexis/Zotero/storage/4DIVNR5H/Phinikarides et al. - 2016 - Development of a Novel Web Application for Automat.pdf}
}

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