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metadata 
title: Electricity Grid Model
emoji: ⚡
colorFrom: yellow
colorTo: red
sdk: gradio
app_port: 7860
app_file: app.py
pinned: false

Electricity Grid Pricing Prediction Model

Machine learning model for forecasting Australian electricity spot prices.

Overview

This repository contains the implementation of a pricing prediction model deployed on Hugging Face. It generates short-term forecasts for electricity prices based on historical and real-time data.

Features

  • Predicts spot prices at:
    • 5 minutes
    • 15 minutes
    • 30 minutes
  • Integrated with external APIs for live inference
  • Deployable via Hugging Face Spaces

Model Deployment

The model is hosted on Hugging Face and exposed via an API endpoint for inference.

Input

  • Time-series electricity data
  • Market indicators

Output

  • Predicted spot prices for defined time horizons

Integration

This model integrates with:

  • Electricity Grid API (data input)
  • AWS Lambda (automated testing and triggering)

Usage

The model can be accessed via API calls or integrated into downstream applications such as dashboards or trading tools.

Notes

  • Ensure input data is preprocessed consistently
  • Model performance depends on data freshness