Visualize results generated by Antares, a powerful software developed by RTE to simulate and study electric power systems (more information about Antares here: < https://antares.rte-france.com>). This package provides functions that create interactive charts to help Antares users visually explore the results of their simulations. You can see the results of several ANTARES studies here : < http://bpnumerique.rte-france.com/>.
antaresViz 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.
This package has been published on CRAN, so you can install it easily:
To install the last development version:
devtools::install_github("rte-antares-rpackage/antaresViz", ref ="develop")
To display the help of the package and see all the functions it provides, type:
antaresViz 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:
prodStack generates a production stack for a set of areas. Different stacks have been defined. One can see their definition with command
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 antaresSoftwarelayout <- readLayout()# Associate geographical coordinatesmyMapLayout <- 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
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).
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.
Copyright © 2016 RTE Réseau de transport d’électricité
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