How do you know if your solar data is accurate?

With more vendors, models, and methodologies than ever before, comparing and validating solar data can be a challenge.

Our downloadable guide shows practical, experience-based lessons from hundreds of customer validations across three key areas: satellite irradiance, forecast accuracy, and PV power modelling. You’ll get actionable steps to run your own assessments, decode common accuracy metrics, and know exactly what to expect from high-quality data.

What's inside the guide?

• Satellite-derived irradiance data: How to review vendor validation materials and run your own evaluations with quality-controlled measurement data.
• Forecast irradiance data: Key factors to assess vendor suitability, insights from global accuracy studies, and step-by-step methods to perform your own forecast validation.
• PV power modelling: Understanding physical vs. machine learning models, reviewing vendor documentation, and tailoring assessments to your specific site configurations.

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Start evaluating our data via the Solcast API, or reach out to our team to learn more.