In recent years, Europe has faced an increasing need to address climate change and reduce its dependence on fossil fuels. As a result, several policy strategies have been implemented to promote the adoption of renewable energy systems, such as photovoltaic (PV) installations. The REPowerEU plan, introduced in May 2022, mandates the installation of solar panels on commercial and public buildings starting in 2025 and on new residential buildings from 2029. Identifying suitable roofs for the installation of photovoltaic systems is therefore a fundamental task. Although useful simulation tools such as PVIGIS assist in estimating the power output of photovoltaic systems under different hypotheses, this thesis explores how Artificial Intelligence (AI) can support this process, making it more efficient and scalable.