Estimation of Rooftop Photovoltaic Potential using Neural Networks

INST: L_042Photovoltaics have seen an increase in popularity and a decrease in costs over the last years. Each year more countries introduce policies that allow exchanging energy from individuals to the grid with feed-in tariffs. However, this raises the question: how can we make decisions about which areas have the highest potential? In this work, a methodology for estimating PV potential using satellite imagery is developed.The benefits are being free and worldwide available, unlike LiDAR approaches