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loadshaper  

Producing Load Shape with Target Peak and Load Factor
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]
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 29 Mar. 2025.
Previous versions and publish date:
No previous versions
Other packages that cited loadshaper R package
View loadshaper citation profile
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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