Agent-based modeling of energy technology adoption: Empirical integration of social, behavioral, economic, and environmental factors
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ABMs have been applied to a multitude of problems relevant to climate change, in particular to study low-carbon technology adoption.
“ABMs have been applied to a multitude of problems relevant to climate change, in particular to study low-carbon technology adoption [320,584,656,878].”
From Tackling climate change with machine learning (2023) · cites this paper as [656]
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Tackling climate change with machine learning
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- Authors
- Rai, V., & Robinson, S. A.
- Affiliations
- The University of Texas at Austin (US)
- Corresponding author
- Rai, Varun
- Venue
- Environmental Modelling & Software
- Publisher
- Elsevier BV
- Published
- 2015-08
- Volume
- 70
- Pages
- 163-177
- ISSN
- 1556-5068 (ISSN-L)
- 1364-8152
- OpenAlex
- W1519386789
- Cited by
- 335
- References
- 119
- Citations by year
- 2026: 33 · 2025: 33 · 2024: 31 · 2023: 27 · 2022: 48 · 2021: 30 · 2020: 30 · 2019: 35 · 2018: 31 · 2017: 21 · 2016: 11 · 2015: 3 · 2014: 2
- Type
- posted content
- Language
- en
- Open access
- green
- doi.org
- Licence
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
- www.elsevier.com/legal/tdmrep-license (tdm)
- www.elsevier.com/open-access/userlicense/1.0/ (am, 288 d)
- doi.org/10.15223/policy-017 (stm-asf)
- doi.org/10.15223/policy-037 (stm-asf)
- doi.org/10.15223/policy-012 (stm-asf)
- doi.org/10.15223/policy-029 (stm-asf)
- doi.org/10.15223/policy-004 (stm-asf)
- Locations
- SSRN Electronic Journal (publishedVersion)
- Environmental Modelling & Software (acceptedVersion)
- OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) (submittedVersion)
- Funders
- U.S. Department of Energy (DE-EE0006129)
- Topics
- Social Sciences › Decision Sciences › Management Science and Operations Research › Innovation Diffusion and Forecasting
- Social Sciences › Sociology and Political Science › Social Acceptance of Renewable Energy
- Physical Sciences › Environmental Science › Management, Monitoring, Policy and Law › Environmental Education and Sustainability
- Keywords
- agent-based modeling, technology adoption, residential photovoltaic systems, rebates, policy evaluation, social networks, household attitudes, behavioral rules, model validation
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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