AI-Powered Smart Energy Management for Commercial Buildings
The Challenge
GreenZen faced a significant challenge in reducing energy costs and consumption across their portfolio of commercial buildings, which averaged $1.5 million annually in utility expenses. The lack of real-time data and actionable insights made it difficult for building managers to implement energy-saving measures effectively.
Our Solution
We developed a comprehensive AI-driven energy management platform utilizing a combination of IoT sensors and machine learning algorithms. The tech stack included Python for backend development, TensorFlow for predictive analytics, and AWS IoT for real-time data processing. The system implemented RAG (Retrieval-Augmented Generation) pipelines to analyze historical energy usage patterns and suggest optimizations.
Results & Impact
Technologies Used
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