An Agent-Based Simulation of Smart Metering Technology Adoption
Open accessAbstract
Based on the classic behavioural theory the “Theory of Planned Behaviour,” the authors have developed an agent-based model to simulate the diffusion of smart metering technology in the electricity market. The authors simulate the emergent adoption of smart metering technology under different management strategies and economic regulations. Their research results show that in terms of boosting the take-off of smart meters in the UK electricity market, choosing the initial users on a random and geographically dispersed basis and encouraging meter competition between energy suppliers can be two effective strategies. The authors also observe an “S-curve” diffusion of smart metering technology and a “lock-in” effect in the model. The research results provide users with insights as to effective policies and strategies for the roll-out of smart meters in the UK electricity market.
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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 [878]
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Rai, V., & Robinson, S. A. (2015) · Environmental Modelling & Software · doi:10.1016/j.envsoft.2015.04.014 · Cited by 335 · see citing works
Tackling climate change with machine learning
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- Authors
- Zhang, T., & Nuttall, W. J.
- Affiliations
- University of Nottingham (GB)
- University of Cambridge (GB)
- Venue
- International Journal of Agent Technologies and Systems
- Publisher
- IGI Global Scientific Publishing
- Published
- 2012-01-01
- Volume
- 4
- Issue
- 1
- Pages
- 17-38
- ISSN
- 1943-0744 (ISSN-L)
- 1943-0752
- OpenAlex
- W2060129049
- Cited by
- 34
- References
- 22
- Citations by year
- 2026: 2 · 2024: 1 · 2022: 3 · 2020: 1 · 2018: 3 · 2016: 2 · 2015: 2 · 2014: 9 · 2013: 1 · 2012: 4
- FWCI
- 6.78
- Type
- journal article
- Language
- ng
- Open access
- green
- doi.org
- Locations
- International Journal of Agent Technologies and Systems (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Cambridge University Engineering Department Publications Database (submittedVersion)
- Apollo (University of Cambridge) (submittedVersion)
- Apollo
- Topics
- Social Sciences › Decision Sciences › Management Science and Operations Research › Innovation Diffusion and Forecasting
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Smart Grid Energy Management
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Electric Vehicles and Infrastructure
- Keywords
- smart metering, technology adoption, diffusion of innovations, theory of planned behavior, agent-based modeling, electricity market, energy suppliers, lock-in effect, energy policy, UK electricity market
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