The Dataset powering the zonnepanelenkaart

The dataset behind zonnepanelenkaart, we believe in making data a driving force behind the transition to sustainable energy. That’s why we’re proud to offer the dataset behind the zonnepanelenkaart, a powerful tool for unlocking solar energy insights across the Netherlands.

This dataset is based on predictions made on high-resolution aerial photography, powered by our in house developed deep learning AI model. We scaled our model to process over 24 terabytes of imagery, covering the entire country with pixel-level precision.

The dataset provides insights into solar panel adoption. Whether you’re looking to identify untapped markets, monitor energy trends, or inform policy decisions, this dataset is your gateway to actionable data.

What’s included?

• Solar panel coverage mapped at pixel-level accuracy.
• Building-level data, including rooftops without solar panels.
• Additional metadata such as postal codes, street names, building identification, construction year, and usage purpose.
• Custom filtering options by region, building type, and more.

The dataset includes detailed information for each building in the Netherlands, such as:

For example, the dataset might show: A house built in 2006 with solar panels installed or An office building from 1986 without solar panels. This allows users to analyze solar panel adoption at both granular and large scales, tailoring insights to their specific needs.

Want to try it out? You can download a sample dataset from Utrecht to explore the possibilities.

This dataset is designed for businesses, researchers, and policymakers. From solar panel vendors targeting new customers to researchers analyzing adoption trends, the applications are endless.

Ready to explore the possibilities? Contact us today or visit the zonnepanelenkaart to see the dataset in action.