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Simulate demand-response scenarios with flexibility from electric vehicles, batteries or any time-series power demand profile, using custom algorithms and Quadratic programming methods.
DataHTML · RGitHub @resourcefully-devOnlineOwner unconfirmed
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Tools for demand-response simulations
Translation pending
Taken from the repository README
Loading the full README.
Read the full README ↗flextools package provides functions for:
If you want to test flextools with your own data set of time-series
energy, the best place to start is the Get started
chapter
in the package website.
Since at this moment flextools is not yet in CRAN, you can install the the latest development version from GitHub:
# install.packages("pak")
pak::pak("resourcefully-dev/flextools")
If you encounter a clear bug, please open an issue with a minimal reproducible example on GitHub.
For further technical details, you can read the following academic articles about the algorithms used in this package:
This work started under a PhD program in the the University of Girona in collaboration with Resourcefully, the energy transition consulting company that currently supports the development and maintenance.