PVplr: Performance Loss Rate Analysis Pipeline

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 <doi:10.1109/PVSC40753.2019.8980928>. 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.

Version: 0.1.0
Depends: R (≥ 2.10)
Imports: dplyr (≥ 0.7.8), magrittr (≥ 1.5), broom (≥ 0.5.1), ggplot2 (≥ 3.1.0), stlplus (≥ 0.5.1), cluster (≥ 2.0.7-1), purrr (≥ 0.3.3), tidyr (≥ 1.1.1), minpack.lm (≥ 1.2-1), rlang (≥ 0.3.1), segmented
Suggests: testthat, knitr, rmarkdown
Published: 2020-10-07
Author: Alan Curran ORCID iD [aut, cre], Tyler Burleyson ORCID iD [aut], Sascha Lindig ORCID iD [aut], David Moser ORCID iD [aut], Roger French ORCID iD [aut], Solar Durability and Lifetime Extension research center [cph, fnd]
Maintainer: Alan Curran <alan.curran at case.edu>
License: BSD_3_clause + file LICENSE
NeedsCompilation: no
CRAN checks: PVplr results

Downloads:

Reference manual: PVplr.pdf
Vignettes: feature_correction
model_comparison
nonlinear_plr
pipeline_walkthrough
Package source: PVplr_0.1.0.tar.gz
Windows binaries: r-devel: PVplr_0.1.0.zip, r-release: PVplr_0.1.0.zip, r-oldrel: PVplr_0.1.0.zip
macOS binaries: r-release (arm64): PVplr_0.1.0.tgz, r-release (x86_64): PVplr_0.1.0.tgz, r-oldrel: PVplr_0.1.0.tgz

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