proloaf

A Probabilistic Load Forecasting Project.


License
Apache-2.0
Install
pip install proloaf==0.2.0

Documentation

Python

Website | Docs | Install Guide | Tutorial

ProLoaF is a probabilistic load forecasting project.

Installation

First, clone this Repository and initialize the submodules:

git clone --recurse-submodule https://git.rwth-aachen.de/acs/public/automation/plf/proloaf.git

or if you have already cloned the project and you are missing e.g. the open data directory for execution run:

git submodule update --init --recursive

To install all required packages first run:

pip install -r requirements.txt

On low RAM machines the option

pip install -r requirements.txt --no-cache-dir

might be necessary.

ProLoaF supports Python 3.6 and higher. For further information see Getting Started

Gettings started, Key Capabilities, Example Workflows & References

To keep all infos on what you can do with ProLoaF and how to get there, our documentation overview, is the place where you'll find all answers.

Related Publications

G. Gürses-Tran, H. Flamme, and A. Monti, "Probabilistic Load Forecasting for Day-Ahead Congestion Mitigation," The 16th International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2020, 2020-08-18 - 2020-08-21, Liège, Belgium, ISBN 978-1-7281-2822-1, Access Online

License

This project is licensed to the Apache Software Foundation (ASF).