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Spatio-temporal modelling of solar photovoltaic adoption: An integrated neural networks and agent-based modelling approach
2022
Applied Energy
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Integrated agent-based and artificial neural networks model for solar PV adoption. • The agents' adoption process is characterised using past experiences. • Spatio-temporally explicit estimations for up to five months with accuracy of 80%. • Integrated ABM and ANN model has adaptive capabilities over other diffusion models. • Income, electricity usage and average household size variables yield best results.
doi:10.1016/j.apenergy.2021.117949
fatcat:lebhuvomwjhtldi53rjti236sm