Estimating the energy produced by solar panels has been a crucial research field in the last fifty years, driven by the impellent need of finding alternative solutions to fossil fuels. The increasing affordability and technological advancements in this area, along with the exponentially growing number of IoT devices, allowed to create systems disconnected from the electrical grid capable of self-sustaining relying solely on the sun's energy. This research presents a scalable approach for forecasting solar irradiation and yield of a moving solar panel, taking into account dynamic location changes and the influence of the city shading that comes along with these different environments.