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DeepSolar: A Machine Learning Framework to Efficiently Construct a Solar Deployment Database in the United States

Jiafan Yu
Zhecheng Wang
Ram Rajagopal
Joule Volume 2, Issue 12, Pages 2605-2617 | 19 December 2018

An accurate deep learning model for detecting solar panel on satellite imagery

Built a nearly complete solar installation database for the contiguous US

Identified key socioeconomic factors correlating with solar deployment density

A predictive model to estimate solar deployment density at census tract level