README.md

metadata

title: Energy ML Prediction System
emoji: ⚡
colorFrom: blue
colorTo: green
sdk: gradio
sdk_version: 4.0.0
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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