DeepSolar++: Understanding residential solar adoption trajectories with computer vision and technology diffusion models

Wang, Zhecheng; Arlt, Marie-Louise; Zanocco, Chad; Majumdar, Arun; Rajagopal, Ram

doi:10.1016/j.joule.2022.09.011

DeepSolar++: Understanding residential solar adoption trajectories with computer vision and technology diffusion models

Journal Article · Tue Nov 01 00:00:00 EDT 2022 · Joule

DOI:https://doi.org/10.1016/j.joule.2022.09.011· OSTI ID:2418790

Wang, Zhecheng ^[1]; Arlt, Marie-Louise; Zanocco, Chad; Majumdar, Arun;

OSTI

Not provided.

View Accepted Manuscript (DOE)

Research Organization:: Stanford Univ., CA (United States); Stanford University, CA (United States)

Sponsoring Organization:: National Science Foundation (NSF); USDOE Office of Energy Efficiency and Renewable Energy (EERE); USDOE Office of Energy Efficiency and Renewable Energy (EERE), Renewable Power Office. Solar Energy Technologies Office

Grant/Contract Number:: EE0009359

OSTI ID:: 2418790

Alternate ID(s):: OSTI ID: 2426705

Journal Information:: Joule, Journal Name: Joule Journal Issue: 11 Vol. 6; ISSN 2542-4351

Publisher:: Elsevier - Cell PressCopyright Statement

Country of Publication:: United States

Language:: English

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