Overview:
The Stadium Energy Usage Optimization project is a smart energy management system designed to monitor, analyze, and optimize energy consumption in stadiums during sports events, concerts, and off-peak periods. It leverages IoT sensors, real-time data analytics, and AI-driven forecasting to reduce operational costs, enhance sustainability, and minimize carbon footprint.

Key Features:

1. Real-Time Energy Monitoring – Tracks power usage across lighting, HVAC (heating, ventilation, and air conditioning), giant screens, sound systems, and concession stands.

2. Smart Lighting Control – Automatically adjusts floodlights and indoor lighting based on event schedules, occupancy, and daylight availability.

3. HVAC Optimization – Dynamically regulates temperature and ventilation to match crowd density and weather conditions.

4. Energy Usage Forecasting – Predicts high-consumption periods during matches or concerts and optimizes energy allocation accordingly.

5. Renewable Energy Integration – Incorporates solar panels or wind turbines to reduce reliance on the grid.

6. Idle Equipment Management – Automatically powers down unused devices or sections during breaks and off-event times.

7. Energy Cost Analytics Dashboard – Displays live usage trends, cost savings, and environmental impact reduction metrics.

8. Maintenance Alerts – Detects abnormal energy spikes and notifies staff about potential faults or inefficiencies.

9. Custom Event-Based Modes – Different optimization presets for day matches, night matches, and concerts.

10. Carbon Emission Tracker – Monitors CO₂ reduction achieved through optimized energy consumption.

Technology Stack:

• Backend: Node.js, Java, or PHP for data processing and control logic

• Frontend: HTML, CSS, Bootstrap, JavaScript for interactive dashboards

• Database: MySQL or MongoDB for storing historical energy data

• IoT Integration: MQTT or REST APIs to collect sensor data from smart meters, lighting, and HVAC systems

• AI/ML: Python (scikit-learn, TensorFlow) for predictive analytics and optimization models

Use Cases:

• Sports Arenas – Reducing operational costs during football, cricket, or baseball matches.

• Concert Venues – Managing high-intensity power usage during live performances.

• Multipurpose Stadiums – Adapting to different event types with tailored energy strategies.

• Green Initiatives – Supporting sustainability goals and environmental compliance.