A novel machine learning based identification of potential adopter of rooftop solar photovoltaics
Author:
Funder
U.S. Department of Energy
Publisher
Elsevier BV
Subject
Management, Monitoring, Policy and Law,Mechanical Engineering,General Energy,Building and Construction
Reference33 articles.
1. Moezzi M, Ingle A, Lutzenhiser L, Sigrin BO. A non-modeling exploration of residential solar photovoltaic (PV) adoption and non-adoption. http://dx.doi.org/10.2172/1379469.
2. Motivations and barriers associated with adopting microgeneration energy technologies in the UK;Balcombe;Renew Sustain Energy Rev,2013
3. Agent-based modeling of energy technology adoption: Empirical integration of social, behavioral, economic, and environmental factors;Rai;Environ Modell Softw,2015
4. Spatial patterns of solar photovoltaic system adoption: The influence of neighbors and the built environment;Graziano;J Econ Geogr,2014
5. Consumer attitudes towards domestic solar power systems;Faiers;Energy Policy,2006
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