AgentUDE17: A Genetic Algorithm to Optimize the Parameters of an Electricity Tariff in a Smart Grid Environment-Reference-Cited by-同舟云学术

AgentUDE17: A Genetic Algorithm to Optimize the Parameters of an Electricity Tariff in a Smart Grid Environment

Published:2018 Issue: Volume: Page:224-236
ISSN:0302-9743
Container-title:Advances in Practical Applications of Agents, Multi-Agent Systems, and Complexity: The PAAMS Collection
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Author:

Özdemir Serkan,Unland Rainer

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-94580-4_18

Reference12 articles.

1. Babic, J., Podobnik, V.: Adaptive bidding for electricity wholesale markets in a smart grid. Presented at the AAMAS Workshop on Agent-Mediated Electronic Commerce and Trading Agents Design and Analysis (AMEC/TADA 2014) (2014)

2. Lecture Notes in Business Information Processing;MMP Chowdhury,2017

3. Farhangi, H.: The path of the smart grid. IEEE Power Ener. Mag. 8(1), 18–28 (2010)

4. Lecture Notes in Business Information Processing;J Hoogland,2017

5. Ketter, W., et al.: Power TAC: a competitive economic simulation of the smart grid. Ener. Econ. 39, 262–270 (2013)

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