A framework for classification of non-linear loads in smart grids using Artificial Neural Networks and Multi-Agent Systems

This paper proposes a general framework that uses the Artificial Neural Networks (ANNs) as a classification tool of nonlinear loads in a simulated smart grid environment by using Multi-Agent Systems (MAS). The increasing of communication and computation infrastructure on devices installed on modern...

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Veröffentlicht in:	Neurocomputing (Amsterdam) Jg. 170; S. 328 - 338
Hauptverfasser:	Saraiva, Filipe de O., Bernardes, Wellington M.S., Asada, Eduardo N.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 25.12.2015
Schlagworte:	Artificial Neural Networks Hybrid intelligent systems Multi-Agent Systems Non-linear loads classification Smart grids Smart grids Non-linear loads classification Artificial Neural Networks Hybrid intelligent systems Multi-Agent Systems
ISSN:	0925-2312, 1872-8286
Online-Zugang:	Volltext
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