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• W4211201219 endingPage "103905" @default.
• W4211201219 startingPage "103905" @default.
• W4211201219 abstract "Decarbonizing the building sector depends on choices made at the household level, which are heterogeneous. Agent-based models are tools used to describe heterogeneous choices but require data-intensive calibration. This study analyzes a novel, cross-country European household-level survey, including sociodemographic characteristics, energy-saving habits, energy-saving investments, and metered household electricity consumption, to enhance the empirical grounding of an agent-based residential energy choice model. Applying cluster analysis to the data shows that energy consumption is not straightforwardly explained by sociodemographic classes, preferences, or attitudes, but some patterns emerge. Income consistently has the largest effect on demand, dwelling efficiency, and energy-saving investments, and the potential to improve a dwellings' energy use affects the efficiency investments made. Including the various sources of heterogeneity found to characterize the model agents affects the timing and speed of the transition. The results reinforce the need for grounding agent-based models in empirical data, to better understand energy transition dynamics." @default.
• W4211201219 created "2022-02-13" @default.
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• W4211201219 date "2022-03-01" @default.
• W4211201219 modified "2023-09-25" @default.
• W4211201219 title "Translating observed household energy behavior to agent-based technology choices in an integrated modeling framework" @default.
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• W4211201219 doi "https://doi.org/10.1016/j.isci.2022.103905" @default.
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