antaresVizMedTSO
is the package to visualize the results of your Antares simulations that you have imported in the R session with package antaresRead
. It provides some functions that generate interactive visualisations. Moreover, by default, these functions launch a shiny widget that provides some controls to dynamically choose what data is displayed in the graphics.
Install from clean session :
rm(list = ls())
lapply(paste('package:',names(sessionInfo()$otherPkgs),sep=""),detach,character.only=TRUE,unload=TRUE)
.rs.restartR( )
````
Needed for moment specific ``spMaps`` package version :
```r
if(!require(devtools)){
install.packages("devtools")
require(devtools)
}
Sys.setenv(R_REMOTES_NO_ERRORS_FROM_WARNINGS="true")
devtools::install_github("rte-antares-rpackage/spMaps", ref = "med-tso")
Then install the master version of antaresVizMedTSO
:
if(!require(devtools)){
install.packages("devtools")
require(devtools)
}
Sys.setenv(R_REMOTES_NO_ERRORS_FROM_WARNINGS="true")
devtools::install_github("rte-antares-rpackage/antaresVizMedTSO", ref ="master")
To display the help of the package and see all the functions it provides, type:
help(package="antaresVizMedTSO")
antaresVizMedTSO::runAppAntaresViz()
antaresVizMedTSO
provides a plot method for tables generated with antaresRead
. This method is for visualizing a single variable in different formats (times series, barplot, monotone, distribution and cumulative distribution). For instance, the following code displays the distribution of marginal price in different areas.
mydata <- readAntares(areas = "all")
plot(mydata, variable = "MRG. PRICE")
For more information, run:
?plot.antaresDataTable
Function prodStack
generates a production stack for a set of areas. Different stacks have been defined. One can see their definition with command productionStackAliases()
.
With function exchangesStack
, one can visualize the evolution and origin/destination of imports and exports for a given area.
The construction of maps first requires to associate geographic coordinates to the areas of a study. antaresViz provides function mapLayout
to do interactively this association.
# Get the coordinates of the areas as they have been placed in the antaresSoftware
layout <- readLayout()
# Associate geographical coordinates
myMapLayout <- mapLayout(layout)
# This mapping should be done once and the result be saved on disk.
save(myMapLayout, file = "myMapLayout.rda")
Then map can be generated with function plotMap
:
myData <- readAntares(areas = "all", links = "all")
plotMap(myData, myMapLayout)
You can use spMaps
to set a map background or download some files at http://www.gadm.org/country.
Contributions to the library are welcome and can be submitted in the form of pull requests to this repository.
Antares is a powerful software developed by RTE to simulate and study electric power systems (more information about Antares here : https://antares.rte-france.com).
ANTARES is now an open-source project (since 2018), you can download the sources here if you want to use this package.
Copyright 2015-2016 RTE (France)
This Source Code is subject to the terms of the GNU General Public License, version 2 or any higher version. If a copy of the GPL-v2 was not distributed with this file, You can obtain one at https://www.gnu.org/licenses/old-licenses/gpl-2.0.en.html.
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