Data processing and forecasting of solar output in a cloud-based environment

• Forecast solar energy output for better resource management
• Analyze historical solar data to improve future predictions
• Log solar output data for regulatory compliance and reporting
• Integrate solar forecasting with other renewable energy sources

Webhook receives solar data input from users Text splitter organizes the data into chunks for processing Embeddings convert text data into a usable format Data is stored in a vector database for efficient querying Users can interact with the system via a chat interface Results are logged in Google Sheets for tracking

1. 1
   Import the Solar Output Forecaster workflow
2. 2
   Configure the webhook settings to receive data
3. 3
   Set up credentials for HuggingFace and Supabase
4. 4
   Connect Google Sheets for logging output
5. 5
   Test the workflow with sample solar data