DeepSolar++: Understanding residential solar adoption trajectories with computer vision and technology diffusion models-Reference-Cited by-同舟云学术

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

Published:2022-11 Issue:11 Volume:6 Page:2611-2625
ISSN:2542-4351
Container-title:Joule
language:en
Short-container-title:Joule

Author:

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

Publisher

Elsevier BV

Subject

General Energy

Reference40 articles.

1. The underestimated potential of solar energy to mitigate climate change;Creutzig;Nat. Energy,2017

2. Summary for policymakers;Masson-Delmotte,2018

3. US solar market insight executive summary;Davis,2021

4. Residential solar-adopter income and demographic trends: 2021 update;Barbose,2021

5. Disparities in rooftop photovoltaics deployment in the United States by race and ethnicity;Sunter;Nat. Sustain.,2019

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4. The energy injustice of household solar energy: A systematic review of distributional disparities in residential rooftop solar adoption;Energy Research & Social Science;2024-05

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