Agent-based simulation of policy induced diffusion of smart meters
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DOI: 10.1016/j.techfore.2013.08.011
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Cited by:
- Diaz-Rainey, Ivan & Ashton, John K., 2015. "Investment inefficiency and the adoption of eco-innovations: The case of household energy efficiency technologies," Energy Policy, Elsevier, vol. 82(C), pages 105-117.
- Anna Kowalska-Pyzalska & Katarzyna Byrka, 2019. "Determinants of the Willingness to Energy Monitoring by Residential Consumers: A Case Study in the City of Wroclaw in Poland," Energies, MDPI, vol. 12(5), pages 1-20, March.
- Carlos M. Fernández-Márquez & Matías Fuentes & Juan José Martínez & Francisco J. Vázquez, 2021. "Productivity and unemployment: an ABM approach," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 16(1), pages 133-151, January.
- Weron, Tomasz & Kowalska-Pyzalska, Anna & Weron, Rafał, 2018.
"The role of educational trainings in the diffusion of smart metering platforms: An agent-based modeling approach,"
Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 505(C), pages 591-600.
- Tomasz Weron & Anna Kowalska-Pyzalska & Rafal Weron, 2017. "The role of educational trainings in the diffusion of smart metering platforms: An agent-based modeling approach," HSC Research Reports HSC/17/04, Hugo Steinhaus Center, Wroclaw University of Science and Technology.
- Kowalska-Pyzalska, Anna, 2018. "What makes consumers adopt to innovative energy services in the energy market? A review of incentives and barriers," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 3570-3581.
- Anna Kowalska-Pyzalska, 2016. "What makes consumers adopt to innovative energy services in the energy market?," HSC Research Reports HSC/16/09, Hugo Steinhaus Center, Wroclaw University of Science and Technology.
- Anna Kowalska-Pyzalska & Katarzyna Byrka & Jakub Serek, 2020. "How to Foster the Adoption of Electricity Smart Meters? A Longitudinal Field Study of Residential Consumers," Energies, MDPI, vol. 13(18), pages 1-19, September.
- Linares, Ian Marques Porto & De Paulo, Alex Fabianne & Porto, Geciane Silveira, 2019. "Patent-based network analysis to understand technological innovation pathways and trends," Technology in Society, Elsevier, vol. 59(C).
- Carlos M. Fernández-Márquez & Francisco Fatas-Villafranca & Francisco J. Vázquez, 2017. "A computational consumer-driven market model: statistical properties and the underlying industry dynamics," Computational and Mathematical Organization Theory, Springer, vol. 23(3), pages 319-346, September.
- Sudtasan, Tatcha & Mitomo, Hitoshi, 2017. "Willingness-to-pay for FTTH for secured and stable usage of OTT media streaming services," 28th European Regional ITS Conference, Passau 2017 169500, International Telecommunications Society (ITS).
- Swinerd, Chris & McNaught, Ken R., 2015. "Comparing a simulation model with various analytic models of the international diffusion of consumer technology," Technological Forecasting and Social Change, Elsevier, vol. 100(C), pages 330-343.
- JinHyo Joseph Yun & DongKyu Won & EuiSeob Jeong & KyungBae Park & DooSeok Lee & Tan Yigitcanlar, 2017. "Dismantling of the Inverted U-Curve of Open Innovation," Sustainability, MDPI, vol. 9(8), pages 1-17, August.
- Carlos M. Fernández-Márquez & Francisco Fatás-Villafranca & Francisco J. Vázquez, 2017. "Endogenous Demand and Demanding Consumers: A Computational Approach," Computational Economics, Springer;Society for Computational Economics, vol. 49(2), pages 307-323, February.
- Carlos M. Fernández‐Márquez & Francisco J. Vázquez, 2018. "How information and communication technology affects decision‐making on innovation diffusion: An agent‐based modelling approach," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 25(3), pages 124-133, July.
- Zhu, Lin & Cunningham, Scott W., 2022. "Unveiling the knowledge structure of technological forecasting and social change (1969–2020) through an NMF-based hierarchical topic model," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
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More about this item
Keywords
Induced diffusion; Innovation adoption; Agent-based modeling; Smart Metering; Competitive dynamics;All these keywords.
JEL classification:
- O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
- O38 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Government Policy
- C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
- C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
- D43 - Microeconomics - - Market Structure, Pricing, and Design - - - Oligopoly and Other Forms of Market Imperfection
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