Abstract
Electricity markets are not only a new reality but also a constantly evolving sector, due to the high frequency of changes in their rules. Simulation tools combined with Artificial Intelligence techniques, particularly multi-agent simulation, can result in a sophisticated and very useful tool in this context.
This work is supported by FEDER Funds through COMPETE program and by National Funds through FCT under the project UID/EEA/00760/2013.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Rothwell, G., Gómez, T.: Electricity Economics: Regulation and Deregulation, pp. 1–13. Wiley, IEEE Press (2003)
Shahidehpour, M., Yamin, H., Li, Z.: Market Operations in Electric Power Systems: Forecasting, Scheduling, and Risk Management, pp. 1–20. John Wiley & Sons, Inc., New York (2002)
Weoldridge, M., Jennings, N.R.: Intelligent agent: theory and practice. Knowl. Eng. Rev. 10, 115–152 (1995). doi:10.1017/S0269888900008122
Kolodner, J.: Case-Based Reasoning. Morgan Kaufmann Publishers Inc., San Francisco, CA, USA (1993)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer International Publishing AG
About this paper
Cite this paper
Faia, R., Pinto, T., Vale, Z. (2018). Decision Support for Agents’ Participation in Electricity Markets. In: De la Prieta, F., et al. Trends in Cyber-Physical Multi-Agent Systems. The PAAMS Collection - 15th International Conference, PAAMS 2017. PAAMS 2017. Advances in Intelligent Systems and Computing, vol 619. Springer, Cham. https://doi.org/10.1007/978-3-319-61578-3_43
Download citation
DOI: https://doi.org/10.1007/978-3-319-61578-3_43
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-61577-6
Online ISBN: 978-3-319-61578-3
eBook Packages: EngineeringEngineering (R0)