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metadata
title: Energy ML Prediction System
emoji: 
colorFrom: blue
colorTo: green
sdk: gradio
sdk_version: 5.42.0
app_file: app.py
pinned: false
license: mit

Energy ML Prediction System

AI-powered energy consumption prediction and threshold exceedance detection.

Models

  • Threshold Detection: Random Forest classifier (AUC = 0.94)
  • Energy Prediction: Random Forest & XGBoost regressors
  • Performance: R² up to 0.72, MAE as low as 0.53 MWh

Features

  • Real-time predictions via simple JSON interface
  • Multiple model comparison (RF vs XGBoost)
  • Threshold exceedance probability (8.3 and 9.0 MWh)
  • Secure access with authentication

Usage

  1. Select your model
  2. Input JSON configuration
  3. Get instant predictions

Authentication

Login required for access.

  • Username: admin
  • Password: energy123

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