Flexible Load Analysis

Flexible Load Analysis is a Python script for modelling and analysis of load-timeseries and net-data, with a focus on flexibility.
The program was originally made to test load-modelling methods described in Erling Tønne's Doctoral Thesis.
The script is created by SINTEF Energi AS in conjunction with CINELDI WP1.

Installation

The script is installed by cloning this repository to your own local machine. Running the script requires the following dependencies:

Dependencies

• Python 3
• numpy
• pandas
• openpyxl
• toml
• networkx
• pandapower

Install all dependencies by running

python3 -m pip install -r requirements.txt

Usage

To use this script, change config.toml to reflect placement and structure of your load-timeseries dataset, as well as changing any other relevant fields. Remember to update the path of the config in main.py as well.

Required data-files and supported formats is described in example_data\TUTORIAL.md

After this, the program may be ran by running

python src/main.py

See the source-code for how to implement custom preprocessing-steps as well as other models.

Development

The project follows PEP8-styling and the numpydoc-standard docstring-styling.

License

This program is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.

This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.

You should have received a copy of the GNU General Public License along with this program. If not, see https://www.gnu.org/licenses/.

Authors

Contributors: Eirik Haugen, Daniel Bjerkehagen, Iver Bakken Sperstad, Susanne Sandell

Copyright © 2021 SINTEF Energi AS