Project Overview:
The Smart Building Energy Optimization System is built using Python and IoT integration. The system collects data from sensors (temperature, light, humidity) and applies machine learning models to optimize energy usage in HVAC and lighting systems.
Key Features:
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Real-time monitoring of energy consumption
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Predictive analytics using ML algorithms
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Automated HVAC and lighting control
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Cloud-based dashboard for monitoring and reporting
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Integration with IoT sensors and actuators
Objective:
To minimize energy costs, reduce carbon footprint, and enhance sustainability in smart buildings.
