nilmtk-docker

Docker image for NILMTK

Python version is 3.8

How to use

Build image

$ ./build.sh

Run jupyter notebook

$ ./run_server.sh

Open your browser and navigate to localhost:8888.

If you want to set password, you should edit run_server.sh and run it.

docker run -e PASSWORD={PASSWORD_YOU_LIKE} --platform=linux/amd64 --rm -p 8888:8888 -v ./notebooks:/workspace/notebooks -v ./dataset:/workspace/dataset -it nilmtk-py311

# docker run --platform=linux/amd64 --rm -p 8888:8888 -v ./notebooks:/workspace/notebooks -v ./dataset:/workspace/dataset -it nilmtk-py311

As notebooks directory is mounted, you should put your notebooks under notebooks.

Dataset

You can download REDD / UKDALE / REFIT datasets and use them in nilmtk. Also, you can download test data.

Just type

$ ./run_bash.sh

For REFIT / REDD / UKDALE dataset

cd dataset/refit  # cd dataset/redd or cd dataset/ukdale
./download.sh
python convert.py

For test dataset

cd dataset/test
./download.sh

To test reading dataset,

cd ../../scripts
python test.py

You'll see

MeterGroup(meters=
  ElecMeter(instance=1, building=1, dataset=None, appliances=[])
  ElecMeter(instance=2, building=1, dataset=None, appliances=[])
  ElecMeter(instance=3, building=1, dataset=None, appliances=[])
  ElecMeter(instance=4, building=1, dataset=None, appliances=[])
  ElecMeter(instance=5, building=1, dataset=None, appliances=[])
)