Load forecasting in the user side using wavelet-ANFIS

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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	Giacometto Torres, Francisco
dc.contributor.author	Cárdenas Araújo, Juan José
dc.contributor.author	Kampouropoulos, Konstantinos
dc.contributor.author	Romeral Martínez, José Luis
dc.date	2012
dc.identifier.citation	Giacometto, F. [et al.]. Load forecasting in the user side using wavelet-ANFIS. A: Annual Conference of the IEEE Industrial Electronics Society. "Proceedings of the 38th Annual Conference on IEEE Industrial Electronics Society". 2012, p. 1049-1054.
dc.identifier.uri	http://hdl.handle.net/2117/18609
dc.language.iso	eng
dc.relation	http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6388575&tag=1
dc.rights	info:eu-repo/semantics/openAccess
dc.subject	Àrees temàtiques de la UPC::Energies::Gestió de l'energia
dc.subject	Energy consumption
dc.subject	discrete wavelet transforms
dc.subject	energy management systems
dc.subject	energy resources
dc.subject	fuzzy neural nets
dc.subject	inference mechanisms
dc.subject	load forecasting
dc.subject	power engineering computing
dc.subject	power system economics
dc.subject	power system simulation
dc.subject	Energia--Consum
dc.title	Load forecasting in the user side using wavelet-ANFIS
dc.type	info:eu-repo/semantics/publishedVersion
dc.type	info:eu-repo/semantics/conferenceObject
dc.description.abstract	At present, the intelligent energy management systems (IEMS) are used to maximiz the relation between productivity and cost using a variety of energy sources. Tn this work, we present a method of short-time load forecasting, using the ANFTS model and a component of preprocessing based in the discrete wavelet transform; the models was implemented in the user-side, analyzing real data of a factory in order to test the proposed algorithm
dc.description.abstract	Peer Reviewed

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