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

• Clone this repository.

git clone https://github.com/Gaurav0502/electricity-forecasting.git

• Install all packages in therequirements.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

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

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