test_df

<p>A dataset containing a small, randomly taken sample of PV data
from SDLE's data collection. It is included for the purposes of unit 
tests and vignettes, serving as an example of how the package's functions work.</p>

datasets

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.

Roger French

PVplr

Performance Loss Rate Analysis Pipeline

Alan Curran

Tyler Burleyson

William Oltjen

Sascha Lindig

David Moser

Solar Durability and Lifetime Extension research center 

test_df function

<p>A .csv file that can be read as a dataframe. 16265 rows and 22 variables.</p>

Format

DOE RTC Sample PV System Data — test_df

DOE RTC Sample PV System Data

test_df: DOE RTC Sample PV System Data

Description

Usage

Arguments

Format