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PVplr  

Performance Loss Rate Analysis Pipeline
View on CRAN: Click here


Download and install PVplr package within the R console
Install from CRAN:
install.packages("PVplr")

Install from Github:
library("remotes")
install_github("cran/PVplr")

Install by package version:
library("remotes")
install_version("PVplr", "0.1.2")



Attach the package and use:
library("PVplr")
Maintained by
Roger French
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-10-07
Latest Update: 2023-02-14
Description:
The pipeline contained in this package provides tools used in the Solar Durability and Lifetime Extension Center (SDLE) for the analysis of Performance Loss Rates (PLR) in real world photovoltaic systems. Functions included allow for data cleaning, feature correction, power predictive modeling, PLR determination, and uncertainty bootstrapping through various methods . The vignette "Pipeline Walkthrough" gives an explicit run through of typical package usage. This material is based upon work supported by the U.S Department of Energy's Office of Energy Efficiency and Renewable Energy (EERE) under Solar Energy Technologies Office (SETO) Agreement Number DE-EE-0008172. This work made use of the High Performance Computing Resource in the Core Facility for Advanced Research Computing at Case Western Reserve University.
How to cite:
Roger French (2020). PVplr: Performance Loss Rate Analysis Pipeline. R package version 0.1.2, https://cran.r-project.org/web/packages/PVplr. Accessed 05 Jan. 2025.
Previous versions and publish date:
0.1.0 (2020-10-07 14:00), 0.1.1 (2022-05-13 23:10)
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Complete documentation for PVplr
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