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Implementation of two different models (TF2/Keras) from literature and a custom model for day-ahead load forecasting (short term load forecasting) on two different datasets.

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Load-Forecasting-with-DeepNN

Implementation of two different models (TF2/Keras) from literature and a custom model for day-ahead load forecasting (short term load forecasting) on two different datasets.

These two models from literature are this which they call 'DeepEnergy' and this.

USAGE

From linux terminal:

  • Clone the repo

    git clone https://github.com/oguzhannfsgl/Load-Forecasting-with-DeepNN
  • Get into the source file

    cd Load-Forecasting-with-DeepNN/src
  • Install neccessary libraries

    pip3 install -r requirements.txt
  • Train a model with a dataset

    python3 main.py --data_from SPAIN --model_name seqmlp --epochs 30

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Implementation of two different models (TF2/Keras) from literature and a custom model for day-ahead load forecasting (short term load forecasting) on two different datasets.

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