Data processing and alert generation for grid load monitoring

• Real-time monitoring of grid load data
• Automated alert generation for energy management
• Efficient data processing and storage using vector databases
• Integration of AI for enhanced data insights
• Logging and tracking of alerts in Google Sheets

Webhook receives grid load data for processing Data is split into manageable chunks for analysis Embeddings are generated using OpenAI's language model Processed data is inserted into Supabase for storage Queries are made to retrieve insights from the stored data Generated insights are communicated through an agent Alerts are logged into Google Sheets for record-keeping

1. 1
   Import the Grid Load Alert workflow template
2. 2
   Configure the webhook settings for data reception
3. 3
   Set up OpenAI and Supabase credentials
4. 4
   Define the Google Sheets document and sheet for logging
5. 5
   Test the workflow to ensure data flow and alert generation