Abstract
Generally, the present disclosure is directed to predicting whether a property can be conducive to solar energy system installation with minimal adjustment to peripheral vegetation. In particular, in some implementations, the systems and methods of the present disclosure can include or otherwise leverage one or more machine-learned models to predict whether a property can be conducive to solar energy installation with minimal adjustment to peripheral vegetation based on imagery and/or publicly available or user-submitted information about the property or area surrounding the property.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Armstrong, Charles, "Using Imagery of Vegetation and Rooftops to Predict Solar Roof Candidacy", Technical Disclosure Commons, (December 07, 2017)
https://www.tdcommons.org/dpubs_series/905