Modeling The Diffusion Of Residential Photovoltaic Systems In Italy: An Agent-based Simulation

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A review of agent‐based modeling of climate‐energy policy (2020, background): “Preferences are often represented as a single parameter (or variable) but can also encompass multiple factors portraying complex lifestyles (Ernst & Briegel, 2017; Palmer et al., 2015).”
Fostering innovation in renewable energy technologies: Choice of policy instruments and effectiveness (2020, background): “Palmer et al. (2015) examined the evolution of residential PV systems in Italy for 2006–2011 and found that the feed-in tariff scheme had, again, a positive effect on their rapid growth, beyond an initial stage (Palmer et al., 2015).”
Adoption of energy efficient technologies by households – Barriers, policies and agent-based modelling studies (2019, background): “[39] for instance conclude that the current subsidy scheme is already effective at stimulating the diffusion of solar PV and will need to be extended to push adoption further.”