RT info:eu-repo/semantics/article T1 A multi-agent system architecture for smart grid management and forecasting of energy demand in virtual power plants A1 Hernández Callejo, Luis A1 Baladrón García, Carlos A1 Aguiar Pérez, Javier Manuel A1 Carro Martínez, Belén A1 Sánchez Esguevillas, Antonio Javier A1 Lloret, Jaime A1 Chinarro, David A1 Gómez Sanz, Jorge A1 Cook, Diane J. K1 Distributed intelligence K1 Multi-agent system K1 Smart grid K1 Virtual power plant K1 3306 Ingeniería y Tecnología Eléctricas AB 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 standards. Smart grids are an emerging trend that introduce intelligence in the power grid to optimize resource usage. In order for this intelligence to be effective, it is necessary to retrieve enough information about the grid operation together with other context data such as environmental variables, and intelligently modify the behavior of the network elements accordingly. This article presents a multi-agent system model for virtual power plants, a new power plant concept in which generation no longer occurs in big installations, but is the result of the cooperation of smaller and more intelligent elements. The proposed model is not only focused on the management of the different elements, but includes a set of agents embedded with artificial neural networks for collaborative forecasting of disaggregated energy demand of domestic end users, the results of which are also shown in this article. PB IEEE SN 0163-6804 YR 2013 FD 2013 LK https://uvadoc.uva.es/handle/10324/70358 UL https://uvadoc.uva.es/handle/10324/70358 LA eng NO IEEE Communications Magazine, January 2013, vol. 51, n.1, p. 106-113. NO Producción Científica DS UVaDOC RD 10-nov-2024