Determinants of spatio-temporal patterns of energy technology adoption: An agent-based modeling approach

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Energy transition at local level: Analyzing the role of peer effects and socio-economic factors on UK solar photovoltaic deployment (2021, background): “Rai and Robinson (2015) categorize peer effects into passive and active.”
Distributed solar and environmental justice: Exploring the demographic and socio-economic trends of residential PV adoption in California (2019, background): “…for adoption vs. non-adoption of clean energy technologies (Braito et al., 2017; Caird et al., 2008; Kemp and Volpi, 2008; Wilson and Dowlatabadi, 2007; Li and Yi, 2014), or on developing predictive models of consumer behavior (Robinson and Rai, 2015; Rai and Robinson, 2015; Sultan et al., 2016).”
Drivers of renewable technology adoption in the household sector (2019, methodology): “…system adoption (most recently, see e.g. Michelsen and Madlener, 2016; Palm, 2018), few include investment costs or revenues as such in their empirical adoption models (exceptions are Agrawal et al., 2015; Braito et al., 2017; Rai and Robinson, 2015; Robinson and Rai, 2015; Wasi and Carson, 2013).”