Unleashing sustainable potential: harnessing machine learning on AWS for optimal energy usage

This article discusses a solution for optimizing energy consumption in buildings using machine learning on AWS. Specifically, it covers:

• An overview of the Guidance for Monitoring and Optimizing Energy Usage on AWS, which includes a reference architecture for implementing energy optimization on AWS
• A reinforcement learning (RL) based energy optimization solution for HVAC systems, specifically rooftop units (RTUs)
• Details of the RL approach, including the state, action, and reward formulations
• Results showing up to 5% reduction in power consumption and $2.5 million cost savings in the first year compared to traditional methods
• Conclusion highlighting the importance of optimizing HVAC systems for energy efficiency and the role of AWS in enabling intelligent HVAC systems