Solar Output Forecaster: Predict Your Energy Potential
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Harness the power of AI to accurately forecast your solar energy output. This workflow leverages advanced language models and vector databases to provide real-time predictions and historical insights.
About This Workflow
The Solar Output Forecaster is an intelligent automation designed to predict and analyze solar energy generation. By integrating with your data sources, it utilizes cutting-edge AI, including Hugging Face embeddings and Anthropic language models, to understand and forecast solar output. The workflow processes data in chunks, embeds it for efficient retrieval, and stores it in a Supabase vector database. This enables sophisticated querying for real-time predictions and analysis, with all actions logged to a Google Sheet for comprehensive record-keeping.
Key Features
- AI-Powered Forecasting: Leverages advanced language models for accurate solar output predictions.
- Data Ingestion & Processing: Efficiently handles and processes solar data for analysis.
- Vector Database Integration: Utilizes Supabase for intelligent data storage and retrieval.
- Real-time Analysis: Enables querying for immediate insights into solar performance.
- Automated Logging: Seamlessly records all forecasting activities to a Google Sheet.
How To Use
- Configure Webhook: Set up a webhook to receive solar data input.
- Text Splitting: Configure the
Splitternode to segment incoming data appropriately. - Embeddings: Connect
Embeddings(using HuggingFace) to convert text data into numerical vectors. - Data Storage: Use the
Insertnode to store embeddings in your Supabase vector store. - Querying: Configure the
Querynode to retrieve relevant data from Supabase. - AI Agent: Set up the
Agentnode with theChatmodel (Anthropic) andToolto process queries and generate forecasts. - Logging: Connect the
Agent's output to theSheetnode to log results in Google Sheets.
Apps Used
Workflow JSON
{
"id": "6426106f-a263-4bc9-be1a-f9bdab948d88",
"name": "Solar Output Forecaster: Predict Your Energy Potential",
"nodes": 5,
"category": "Operations",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
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ID: 6426106f-a263...
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