Adaptive model for a variable load in a distribution network using an neuro-fuzzy system

dc.contributor.author	Espitia, Helbert Eduardo
dc.contributor.author	Díaz González, Domingo Guzmán
dc.contributor.author	Díaz Rodríguez, Susana Irene
dc.date.accessioned	2017-10-10T10:03:29Z
dc.date.available	2017-10-10T10:03:29Z
dc.date.issued	2017
dc.identifier.isbn	978-1-5090-6678-0
dc.identifier.uri	http://hdl.handle.net/10651/43825
dc.description	IEEE Workshop on Power Electronics and Power Quality Applications (2017, Bogotá (Colombia))	spa
dc.description.abstract	Distributed generation systems are a suitable alternative for the rational use of energy. One of important aspect in these systems corresponds to the modeling of the transmission system and its loads which are usually variable. Neuro-fuzzy systems are an alternative for modeling and control of complex systems, allowing the adaptability of their parameters using data. This article shows the modeling of a node in a distribution system considering in adaptive way the load variability during a time interval	eng
dc.language.iso	eng	spa
dc.publisher	IEEE	spa
dc.relation.ispartof	2017 IEEE Workshop on Power Electronics and Power Quality Applications (PEPQA)	spa
dc.title	Adaptive model for a variable load in a distribution network using an neuro-fuzzy system	spa
dc.type	conference output	spa
dc.identifier.doi	10.1109/PEPQA.2017.7981643
dc.relation.publisherversion	http://dx.doi.org/10.1109/PEPQA.2017.7981643	spa

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