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: | 0.1.2 |
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, forecast, scales, zoo |
Suggests: | testthat, knitr, rmarkdown |
Published: | 2023-02-14 |
Author: | Alan Curran |
Maintainer: | Roger French <roger.french at case.edu> |
License: | MIT + file LICENSE |
NeedsCompilation: | no |
CRAN checks: | PVplr results |
Reference manual: | PVplr.pdf |
Vignettes: |
feature_correction model_comparison nonlinear_plr pipeline_walkthrough |
Package source: | PVplr_0.1.2.tar.gz |
Windows binaries: | r-devel: PVplr_0.1.2.zip, r-release: PVplr_0.1.2.zip, r-oldrel: PVplr_0.1.2.zip |
macOS binaries: | r-release (arm64): PVplr_0.1.2.tgz, r-oldrel (arm64): PVplr_0.1.2.tgz, r-release (x86_64): PVplr_0.1.2.tgz, r-oldrel (x86_64): PVplr_0.1.2.tgz |
Old sources: | PVplr archive |
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