ANFIS Microgrid Energy Management System Synthesis by Hyperplane Clustering Supported by Neurofuzzy Min-Max Classifier

A novel energy management system (EMS) synthesis procedure based on adaptive neurofuzzy inference systems (ANFISs) by hyperplane clustering is investigated in this paper. In particular, since it is known that clustering input-output samples in hyperplane space does not consider clusters' separa...

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Veröffentlicht in:	IEEE transactions on emerging topics in computational intelligence 2019-06, Vol.3 (3), p.193-204
Hauptverfasser:	Leonori, Stefano, Martino, Alessio, Mascioli, Fabio Massimo Frattale, Rizzi, Antonello
Format:	Artikel
Sprache:	eng
Schlagworte:	Adaptive neurofuzzy inference systems Adaptive systems Algorithms Classifiers Clustering Distributed generation Energy management Energy storage energy storage systems hierarchical clustering hyperplane clustering Hyperplanes Integer programming Linear programming Mathematical programming microgrids min–max neurofuzzy classifiers Mixed integer renewable energy sources Synthesis Time of use
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