University of Buenos Aires (UBA)
Master in Data Mining and Knowledge Discovery
Series temporales

Predicción del consumo de energía eléctrica en GBA

Notebooks

• EDA

  • Demanda Energetica
    • Python
    • R
  • Tarifas
    • Scraping
    • Análisis

• Modelos

  • LSTM
  • Prophet
  • Prophet: CDD y HDD como variables predictoras
  • Prophet Simple: CDD y HDD como variables predictoras
  • Modelo Hibrido (Ensample)
  • Kats
  • NBeats

Requisites

• anaconda / miniconda / mamba (Recomendado)
• Setup de entorno (Window)

Getting started

Step 1: Clone repo.

$ git clone https://github.com/magistery-tps/time-series.git
$ cd time-series

Step 2: Create environment.

$ conda env create -f environment.yml

See notebooks in jupyter lab

Step 1: Enable project environment.

$ conda activate time-series

Step 2: Under project directory boot jupyter lab.

$ jupyter lab

Jupyter Notebook 6.1.4 is running at:
http://localhost:8888/?token=45efe99607fa6......

Step 3: Go to http://localhost:8888.... as indicated in the shell output.