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Erschienen in:
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2017 | OriginalPaper | Buchkapitel

Nord Pool Ontology to Enhance Electricity Markets Simulation in MASCEM

verfasst von : Gabriel Santos, Tiago Pinto, Isabel Praça, Zita Vale

Erschienen in: Progress in Artificial Intelligence

Verlag: Springer International Publishing

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Abstract

This paper proposes the use of ontologies to enable information and knowledge exchange, to test different electricity market models and to allow players from different systems to interact in common market environments. Multi-agent based software is particularly well fitted to analyse dynamic and adaptive systems with complex interactions among its constituents, such as the complex and dynamic electricity markets. The main drivers are the markets’ restructuring and evolution into regional and continental scales, along with the constant changes brought by the increasing necessity for an adequate integration of renewable energy sources. An ontology to represent the concepts related to the Nord Pool Elspot market is proposed. It is validated through a case study considering the simulation of Elspot market. Results show that heterogeneous agents are able to effectively participate in the simulation by using the proposed ontologies to support their communications with the Nord Pool market operator.

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Vorheriges Kapitel Dynamic and Static Transmission Network Expansion Planning via Harmony Search and Branch & Bound on a Hybrid Algorithm
Nächstes Kapitel Electricity Rate Planning for the Current Consumer Market Scenario Through Segmentation of Consumption Time Series
Fußnoten
9
A functional property is a property that only relates the same subject to one single object/value.
 
11
XML syntax to represent a Resource Description Framework (RDF) graph.
 
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Fernandes, R., Santos, G., Praça, I., Pinto, T., Morais, H., Pereira, I.F., Vale, Z.: Elspot: nord pool spot integration in MASCEM electricity market simulator. In: Corchado, J.M., et al. (eds.) PAAMS 2014. CCIS, vol. 430, pp. 262–272. Springer, Cham (2014). doi:10.​1007/​978-3-319-07767-3_​24CrossRef
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Metadaten
Titel
Nord Pool Ontology to Enhance Electricity Markets Simulation in MASCEM
verfasst von
Gabriel Santos
Tiago Pinto
Isabel Praça
Zita Vale
Copyright-Jahr
2017
Buch
Progress in Artificial Intelligence

Print ISBN: 978-3-319-65339-6

Electronic ISBN: 978-3-319-65340-2

Copyright-Jahr: 2017

DOI
https://doi.org/10.1007/978-3-319-65340-2_24