Energy management systems by means of computational intelligence algorithms

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To access the full text documents, please follow this link: http://hdl.handle.net/2117/11231

dc.contributor	Universitat Politècnica de Catalunya. Departament d'Enginyeria Electrònica
dc.contributor	Universitat Politècnica de Catalunya. MCIA - Motion Control and Industrial Applications Research Group
dc.contributor.author	Cárdenas Araújo, Juan José
dc.contributor.author	Romeral Martínez, José Luis
dc.contributor.author	García, A.
dc.date	2010
dc.identifier.citation	Cardenas, J.; Romeral, L.; García, A. Energy management systems by means of computational intelligence algorithms. A: Barcelona Forum on Ph.D. Research in Communications, Electronics and Signal Processing. "2nd Barcelona Forum on Ph.D. Research in Communications, Electronics and Signal Processing". Barcelona: Universitat Politècnica de Catalunya, 2010, p. 35-36.
dc.identifier.citation	978-84-7653-398-7
dc.identifier.uri	http://hdl.handle.net/2117/11231
dc.language.iso	eng
dc.publisher	Universitat Politècnica de Catalunya
dc.relation	http://phdbarcelonaforum.upc.edu/.../2nd-bcn-phd-forum-proceedings-completo-v3.pdf
dc.rights	Attribution-NonCommercial-NoDerivs 3.0 Spain
dc.rights	info:eu-repo/semantics/openAccess
dc.rights	http://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subject	Àrees temàtiques de la UPC::Energies::Gestió de l'energia
dc.subject	Energy management
dc.subject	Energia -- Consum -- Gestió
dc.title	Energy management systems by means of computational intelligence algorithms
dc.type	info:eu-repo/semantics/publishedVersion
dc.type	info:eu-repo/semantics/conferenceObject
dc.description.abstract	This work pretends to take advantage of powerful capabilities of computational intelligence to improve the actual features of modeling, prognosis, diagnosis and optimization of load demand for EMS. This work gives a potent complement to the rising new paradigms about renewable energies, distributed generation, micro-grids and smart grids in general, which are in focusing in the optimization or improving of how the energy is generated and not how the energy is used.
dc.description.abstract	Peer Reviewed

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