Integrations

Supercharge Solcast with Relevance AI

Solcast offers powerful tools for accessing global solar resource assessment and forecasting data. With Relevance AI, you can transform this data into actionable insights, empowering your AI Agents to make informed decisions.

Give your AI Agents Solcast Superpowers

Solcast provides accurate solar resource assessment and forecasting data, while Relevance AI enhances this capability by enabling intelligent AI Agents to analyze and act on the data in real-time.

Predictive Solar Mastery

AI agent leverages real-time forecasting data to anticipate and optimize solar energy patterns with unprecedented accuracy

Intelligent Resource Orchestration

Agent dynamically allocates energy resources by combining historical patterns with live weather data for maximum efficiency

Precision Grid Harmonization

Agent seamlessly balances grid stability by integrating solar forecasts with real-time energy demand patterns

Tools

Equip AI Agents with the Solcast Tools they need

Relevance AI integrates seamlessly with Solcast, enabling you to leverage solar forecasting data within your AI-driven workflows.

Solcast - Get Monthly Averages
Retrieves monthly average solar resource data for a specific geographic location, providing historical irradiance and PV power generation patterns
Solcast - Get Live Weather
Fetches real-time solar and weather conditions for a specified location, with customizable time windows and averaging periods for detailed current analysis
Solcast - Get Weather Forecast
Provides predictive solar and weather data for future periods, allowing for advanced planning of solar power generation with adjustable forecast windows
Name
Solcast API Call
Description
Make an authorized request to a Solcast API
Parameters
["OAuth account authentication", "HTTP method selection (GET, POST, PUT, DELETE, PATCH)", "Custom request path", "Request body configuration", "Custom header support"]
Use Case
A solar energy company uses the Solcast API integration to automatically fetch real-time solar radiation forecasts and historical data, enabling them to optimize their solar panel performance predictions and maintenance schedules across multiple installation sites.

Security & Reliability

The integration between Solcast and Relevance AI provides a secure and efficient way to access solar resource assessment and forecasting data globally. Utilizing OAuth authentication, this integration ensures that only authorized workflows can access your solar data. Relevance AI manages API operations (like retrieving live weather data, weather forecasts, and monthly averages) seamlessly in the background, allowing you to focus on your application without worrying about errors, formatting, or limits.

With built-in validation and flexible data formatting options, you can easily retrieve and manipulate solar forecasting data, ensuring your workflows run smoothly even when data formats vary. This integration empowers developers with real-time weather monitoring capabilities and historical solar resource assessments, enhancing the overall functionality of your applications.

No training on your data

Your data remains private and is never utilized for model training purposes.

Security first

We never store anything we don’t need to. The inputs or outputs of your tools are never stored.

Get Started

Best Practices for Non-Technical Users

To get the most out of the Solcast + Relevance AI integration without writing code:
  • Start with accurate geographic data: Ensure latitude and longitude values are correct and in the proper format.
  • Utilize pre-built functions: Leverage the provided API functions for live weather data, forecasts, and monthly averages to streamline your workflow.
  • Configure authentication carefully: Double-check your OAuth credentials and permissions to avoid authentication errors.
  • Test API calls with sample data: Use test coordinates and parameters to validate your setup before deploying in a production environment.
  • Monitor API usage: Keep track of your request limits and implement throttling to prevent rate limiting issues.