README.md

metadata

title: Smart Energy Load Forecasting
emoji: 💻
colorFrom: blue
colorTo: green
sdk: gradio
sdk_version: 5.28.0
app_file: app.py
pinned: false

Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

Smart Energy Load Forecasting

This project forecasts Germany electricity load using the SARIMA time series model.

The interactive Gradio dashboard allows you to:

• Select forecast horizon (1–60 days)
• Visualize historical load and future forecasts
• Explore daily electricity demand trends

The dataset used is the Open Power System Data (OPSD):
https://data.open-power-system-data.org/time_series/latest/time_series_60min_singleindex.csv

Developed in Python using pandas, pmdarima, matplotlib, and gradio.

How to Use

1. Run the app.
2. Move the slider to select the number of days to forecast.
3. Click Generate Forecast to see the forecasted electricity load.