Outsmarting the energy grid with AI by Peter Defreyne

At Ixor, we've harnessed the power of AWS Lambda to create a data-driven AI architecture for managing household energy modules. Our solution consists of efficient data integration and processing, utilising both real-time and historical data to drive forecasting and optimal scheduling. By leveraging AWS Lambda, we achieve low-latency data ingestion and processing, while scalable storage solutions like S3 and DynamoDB ensure robust handling of historical data. Our advanced algorithms generate optimal energy schedules, taking into account dynamic energy pricing, solar predictions, and consumption forecasts.This presentation will delve into the technical intricacies of our implementation, demonstrating how AWS Lambda can be utilized to address the challenges of energy management while maintaining linear cost scalability. Attendees will learn about the design patterns and best practices we employed to create a resilient and efficient system. We will also share insights on overcoming common pitfalls and optimizing performance in a serverless environment. Join us to discover how our innovative use of technology creates efficient, data-driven solutions for energy optimisation, paving the way for smarter energy management in the home.