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loadshaper
View on CRAN: Click
here
Download and install loadshaper package within the R console
Install from CRAN:
install.packages("loadshaper")
Install from Github:
library("remotes")
install_github("cran/loadshaper") Install by package version:
library("remotes")
install_version("loadshaper", "1.1.1") Attach the package and use:
library("loadshaper")
Maintained by
Md Riaz Ahmed Khan
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-05-17
Latest Update: 2022-05-17
Description:
Modifying a load shape to match specific peak and
load factor is a fundamental component for various power system
planning and operation studies. This package is an efficient tool
to modify a reference load shape while matching the desired peak
and load factor. The package offers both linear and non-linear method,
described in .
The user can control the shape of the final load shape by regulating
certain parameters. The package provides validation metrics for
assessing the derived load shape in terms of preserving time series
properties. It also offers powerful graphics, that allows the user to
visually assess the derived load shape.
How to cite:
Md Riaz Ahmed Khan (2022). loadshaper: Producing Load Shape with Target Peak and Load Factor. R package version 1.1.1, https://cran.r-project.org/web/packages/loadshaper. Accessed 26 Oct. 2026.
Previous versions and publish date:
(2026-07-09 07:53), 1.1.1 (2022-05-17 18:20)
Other packages that cited loadshaper R package
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Other R packages that loadshaper depends,
imports, suggests or enhances
Complete documentation for loadshaper
Functions, R codes and Examples using
the loadshaper R package
Some associated functions: ercot . lscore . lslin . lslog . plot.lslin . plot.lslog . print.lscore . print.lslin . print.lslog . summary.lscore . summary.lslin . summary.lslog .
Some associated R codes: ercot2019.R . lscore.R . plot_lslin.R . plot_lslog.R . print_lscore.R . print_lslin.R . print_lslog.R . shaper_lin.R . shaper_log.R . summary_lscore.R . summary_lslin.R . summary_lslog.R . Full loadshaper package functions and examples
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