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A probabilistic forecast using 3-layer Neural Network with RLU layers for non-linear function approximation.

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Probabilistic_net_load_forecast

A probabilistic forecast using 3-layer Neural Network with RLU layers for non-linear function approximation.

An example forecast is provided below: Example Forecast

Dependencies

$ python -m venv env
$ source env/bin/activate
$ pip install -r requirements.txt

Usage

Train a model for the Georga Substation:
$ python nlf_nn.py -s GA -tr   

Plot the forecast:
$ python nlf_nn.py -s GA --plot

Create a forecast:
$ python nlf_nn.py -s GA -cf

Upload a forecast:
$ python nlf_nn.py --upload-forecast --file data/forecast.nn_point.20230711_094825.90c2a42c-f0ad-11ed-94b4-5edf5e2b3336.csv

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A probabilistic forecast using 3-layer Neural Network with RLU layers for non-linear function approximation.

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