Solar machine learning

How can we identify roofs with solar installations or determine suitable spaces for new solar systems? How do we ensure our records align with reality? With the help of an innovative machine learning algorithm, council can now answer these questions at the click of a button.

Emerging technologies like machine learning empower council to analyse and uncover patterns in data. This advanced model maps, analyses, and monitors solar photovoltaic (PV) systems across the region, including those installed on council assets.

Machine learning, a cutting-edge process, enables the identification of objects and patterns within aerial imagery. By capturing these patterns as a dataset or "layer," council can utilise this information for data-driven decision-making. This is particularly useful for verifying existing solar installations and pinpointing the most suitable buildings for new solar projects. Regular updates to our aerial imagery allow us to efficiently integrate this learned information into our corporate mapping system. By leveraging these insights, we can enhance our efforts toward sustainability and ensure a greener future for our communities.

As we continue to refine our methods and expand our capabilities, council will be able to apply machine learning to solve other problems further improving and streamlining our internal processes benefiting our organisation and community.