Other packages > Find by keyword >

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 13 Apr. 2025.
Previous versions and publish date:
0.1.0 (2020-10-07 14:00), 0.1.1 (2022-05-13 23:10), 0.1.2 (2023-02-14 19:00)
Other packages that cited PVplr R package
View PVplr citation profile
Other R packages that PVplr depends, imports, suggests or enhances
Complete documentation for PVplr
Downloads during the last 30 days
03/1503/1803/2003/2103/2203/2403/2804/0104/0304/0404/0504/0604/0704/0804/09Downloads for PVplr123456789TrendBars

Today's Hot Picks in Authors and Packages

SPOTMisc  
Misc Extensions for the "SPOT" Package
Implements additional models, simulation tools, and interfaces as extensions to 'SPOT'. It provides ...
Download / Learn more Package Citations See dependency  
MLeval  
Machine Learning Model Evaluation
Straightforward and detailed evaluation of machine learning models. 'MLeval' can produce receiver op ...
Download / Learn more Package Citations See dependency  
nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  
optimParallel  
Parallel Version of the L-BFGS-B Optimization Method
Provides a parallel version of the L-BFGS-B method of optim(). The main function of the package is o ...
Download / Learn more Package Citations See dependency  
COMPoissonReg  
Conway-Maxwell Poisson (COM-Poisson) Regression
Fit Conway-Maxwell Poisson (COM-Poisson or CMP) regression models to count data (Sellers & Shmueli, ...
Download / Learn more Package Citations See dependency  
ggprism  
A 'ggplot2' Extension Inspired by 'GraphPad Prism'
Provides various themes, palettes, and other functions that are used to customise ggplots to look l ...
Download / Learn more Package Citations See dependency  

24,012

R Packages

207,311

Dependencies

64,867

Author Associations

24,013

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA