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Daily Electricity Usage Forecasting

Aim

To forecast the daily electricity consumption with weather data (daily temperature ranges and precipitation).

Environment Setup

  • Clone this repository.
git clone https://github.com/Gaurav0502/electricity-forecasting.git
  • Install all packages in the requirements.txt file.
pip install -r requirements.txt
  • Download and store all the three datasets from following sources:

  1. Electricity dataset: https://archive.ics.uci.edu/dataset/321/electricityloaddiagrams20112014

  2. Weather dataset: https://www.kaggle.com/datasets/gauravpendharkar/portuguese-weather-data-from-2011-to-2014

  • Ensure the all the data and code files have the directory structure as follows:
.
├── README.md
├── clustering.ipynb
├── clusters.json
├── data
│   ├── LD2011_2014.txt
│   ├── lisbon_precip_2011-2014.csv
│   └── lisbon_temp_2011-2014.csv
├── eda.ipynb
├── model.py
├── modelling.ipynb
├── preprocess.py
└── requirements.txt

References

Electricity: https://archive.ics.uci.edu/dataset/321/electricityloaddiagrams20112014

Weather: https://www.ipma.pt/en/oclima/series.longas/list.jsp