pnnl-anon-dp

OEDISI model anonymizer using Differential Privacy (DP)

Description

This anonymizer loads an OpenDSS model and its connected loadshape/pvshape profiles to generate new anonymized OpenDSS files.

Setup

This profile utilizes Differential Privacy with highest level of privacy setting to anonymise the files. Degree of anonymization can be varied manually

git clone https://github.com/pnnl/oedisi_dopf.git
cd oedisi_dopf/anonymize
poetry update

Run

The main.py script will anonymize all opendss files found within the input director and save them into the specified output director under the new model name.

python main.py --model=anon123 --input=./opendss/ieee123 --output=./anon/opendss