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A Multi-Agent System Architecture for Smart Grid Management and Forecasting of Energy Demand in Virtual Power Plants

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A Multi-Agent System Architecture for Smart Grid Management and Forecasting of Energy Demand in Virtual Power Plants

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Hernández, L.; Baladrón Zorita, C.; Aguiar Pérez, JM.; Carro, B.; Sanchez-Esguevillas, A.; Lloret, J.; Chinarro, D.... (2013). A Multi-Agent System Architecture for Smart Grid Management and Forecasting of Energy Demand in Virtual Power Plants. IEEE Communications Magazine. 51(1):106-113. doi:10.1109/MCOM.2013.6400446

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/43823

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Title: A Multi-Agent System Architecture for Smart Grid Management and Forecasting of Energy Demand in Virtual Power Plants
Author: Hernández, Luis Baladrón Zorita, Carlos Aguiar Pérez, Javier Manuel Carro, Belén Sanchez-Esguevillas, Antonio Lloret, Jaime Chinarro, David Gómez Sanz, Jorge Cook, Diane
UPV Unit: Universitat Politècnica de València. Departamento de Comunicaciones - Departament de Comunicacions
Universitat Politècnica de València. Instituto de Investigación para la Gestión Integral de Zonas Costeras - Institut d'Investigació per a la Gestió Integral de Zones Costaneres
Issued date:
Abstract:
[EN] Recent technological advances in the power generation and information technologies areas are helping to change the modern electricity supply system in order to comply with higher energy efficiency and sustainability ...[+]
Subjects: CHALLENGES , SECURITY
Copyrigths: Reserva de todos los derechos
Source:
IEEE Communications Magazine. (issn: 0163-6804 )
DOI: 10.1109/MCOM.2013.6400446
Publisher:
Institute of Electrical and Electronics Engineers (IEEE)
Publisher version: http://dx.doi.org/10.1109/MCOM.2013.6400446
Thanks:
We would like to express our thanks to the coordinators of the project OptimaGrid for the information provided on MAS-based micro-grids, and the creators of a MAS INGENIAS methodology. This article has been partially funded ...[+]
Type: Artículo

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