⚡ Michigan Electricity Demand Forecast ⚡

Machine Learning-powered electricity demand prediction using real-time weather data
Weather Impact: Temperature (+), Wind Speed (+), Humidity (−)

💡 Note: The "Single City" button uses Detroit by default, but the API works for ANY city worldwide!
Try: GET /predict?city=Chicago or GET /predict?city=Miami or GET /predict?city=London

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📊 Understanding the Energy Demand Baseline

What does kWh mean in this context?
The forecasted values represent average hourly electricity demand per household in the selected area.

1-2 kWh: Low demand (minimal HVAC use, normal appliances)
2-4 kWh: Moderate demand (typical household consumption)
4-6 kWh: High demand (AC/heating at peak, multiple high-power appliances)
6+ kWh: Extreme demand (severe weather conditions, maximum HVAC load)

Business Solution: This forecast helps utility companies optimize grid capacity, schedule maintenance during low-demand periods, and prepare for peak load conditions to prevent outages and save $6-16M annually.

🤖 How This Works

Technology Stack:

XGBoost machine learning model
OpenWeatherMap API integration
Recursive 24-hour forecasting
Time-series feature engineering

Prediction Method: Trained on historical weather-energy patterns to predict future demand based on temperature, humidity, wind speed, and temporal patterns with ~85% accuracy.

Average Demand

kWh per household

Peak Demand

kWh per household

📈 24-Hour Demand Forecast

💡 Forecast Insight

Run a prediction to see insights

🗺️ Geographic Energy Demand Map

Click "Michigan Statewide" to view demand across 20 major cities

Low Demand (< 2.5 kWh)

Moderate (2.5-4.0 kWh)

High Demand (> 4.0 kWh)

📋 Detailed Forecast Results

Time	Predicted Demand (kWh)	City