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The effects of residential real-time pricing contracts on transco loads, pricing, and profitability: Simulations using the N-ABLE(TM) agent-based model

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  • Ehlen, Mark A.
  • Scholand, Andrew J.
  • Stamber, Kevin L.

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  • Ehlen, Mark A. & Scholand, Andrew J. & Stamber, Kevin L., 2007. "The effects of residential real-time pricing contracts on transco loads, pricing, and profitability: Simulations using the N-ABLE(TM) agent-based model," Energy Economics, Elsevier, vol. 29(2), pages 211-227, March.
  • Handle: RePEc:eee:eneeco:v:29:y:2007:i:2:p:211-227
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    Cited by:

    1. Oliveira, Fernando S. & Costa, Manuel L.G., 2018. "Capacity expansion under uncertainty in an oligopoly using indirect reinforcement-learning," European Journal of Operational Research, Elsevier, vol. 267(3), pages 1039-1050.
    2. Linn Svegrup & Jonas Johansson & Henrik Hassel, 2019. "Integration of Critical Infrastructure and Societal Consequence Models: Impact on Swedish Power System Mitigation Decisions," Risk Analysis, John Wiley & Sons, vol. 39(9), pages 1970-1996, September.
    3. Anna Kowalska-Pyzalska & Katarzyna Maciejowska & Katarzyna Sznajd-Weron & Rafal Weron, 2013. "Going green: Agent-based modeling of the diffusion of dynamic electricity tariffs," HSC Research Reports HSC/13/05, Hugo Steinhaus Center, Wroclaw University of Technology.
    4. Cong, Rong-Gang & Wei, Yi-Ming, 2010. "Potential impact of (CET) carbon emissions trading on China’s power sector: A perspective from different allowance allocation options," Energy, Elsevier, vol. 35(9), pages 3921-3931.
    5. Weidlich, Anke & Veit, Daniel, 2008. "A critical survey of agent-based wholesale electricity market models," Energy Economics, Elsevier, vol. 30(4), pages 1728-1759, July.

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