Detect energy consumption anomalies from data inputs

• Monitor energy consumption patterns in real-time
• Identify and report anomalies in energy usage
• Log detected anomalies for further analysis
• Integrate energy data with existing reporting tools

Receive energy consumption data via a webhook Split the data into manageable chunks for analysis Generate embeddings for the data using AI models Store embeddings in a vector database for efficient querying Query the database to detect anomalies Log anomalies into Google Sheets for record-keeping

1. 1
   Import the Energy Consumption Anomaly Detector workflow
2. 2
   Configure the webhook to receive data inputs
3. 3
   Set up Hugging Face and Supabase credentials
4. 4
   Define the Google Sheets document for logging anomalies
5. 5
   Test the workflow with sample energy data