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PVplr
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]
[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 06 Oct. 2024.
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
Functions, R codes and Examples using
the PVplr R package
Some associated functions: all_na . mbm_resample . nc . num_test . plr_6k_model . plr_bootstrap_output . plr_bootstrap_output_from_results . plr_bootstrap_uncertainty . plr_build_var_list . plr_cleaning . plr_convert_columns . plr_decomposition . plr_kmeans_test . plr_pvusa_model . plr_remove_outliers . plr_saturation_removal . plr_seg_extract . plr_var . plr_variable_check . plr_weighted_regression . plr_xbx_model . plr_xbx_utc_model . plr_yoy_regression . test_df .
Some associated R codes: PLR_determination.R . asy_1911_seg_plr_function.R . data_cleaning.R . data_quality.R . helper_fun.R . power_corrections.R . test_df.R . ts_feature_correction.R . uncertainty.R . Full PVplr package functions and examples
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