Intelligent Energy Consumption Anomaly Detection

The Energy Consumption Anomaly Detector is an intelligent workflow designed to pinpoint deviations from normal energy usage patterns. It begins by receiving data via a webhook, then efficiently splits this data into manageable chunks for processing. Using Hugging Face embeddings, it creates vector representations of the data, which are then stored and indexed in Supabase. When new data arrives, it's queried against this indexed knowledge base. An AI agent, equipped with conversation memory and access to your energy data via a Supabase vector store tool, analyzes the incoming information and determines if an anomaly has occurred. Detected anomalies are then logged to a Google Sheet for review and action, enabling proactive energy management and cost savings.