@inbook{11d9dae01010442495dd13d75a1e6ee4,
title = "Elspot: Nord Pool Spot Integration in MASCEM Electricity Market Simulator",
abstract = " The energy sector in industrialized countries has been restructured in the last years, with the purpose of decreasing electricity prices through the increase in competition, and facilitating the integration of distributed energy resources. However, the restructuring process increased the complexity in market players' interactions and generated emerging problems and new issues to be addressed. In order to provide players with competitive advantage in the market, decision support tools that facilitate the study and understanding of these markets become extremely useful. In this context arises MASCEM (Multi-Agent Simulator of Competitive Electricity Markets), a multi-agent based simulator that models real electricity markets. To reinforce MASCEM with the capability of recreating the elect ricity markets reality in the fullest possible extent, it is crucial to make it able to simulate as many market models and player types as possible. This paper presents a new negotiation model implemented in MASCEM based on the negotiation model used in day-ahead market (Elspot) of Nord Pool. This is a key module to study competitive electricity markets, as it presents well defined and distinct characteristics from the already implemented markets, and it is a reference electricity market in Europe (the one with the larger amount of traded power). ",
author = "Ricardo Fernandes and Gabriel Santos and Isabel Praca and Tiago Pinto and Hugo Morais and Pereira, {Ivo F.} and Zita Vale",
year = "2014",
doi = "10.1007/978-3-319-07767-3_24",
language = "English",
isbn = "978-3-319-07766-6",
series = "Communications in Computer and Information Science",
publisher = "Springer",
pages = "262--272",
editor = "Corchado, {J.M. }",
booktitle = "Highlights of Practical Applications of Heterogeneous Multi-Agent Systems.",
note = "PAAMS 2014 : 12th International Conference on Practical Applications of Agents and Multi-Agent Systems ; Conference date: 04-07-2014 Through 06-07-2014",
}