Multiobjective Optimization of Multi-Carrier Energy System Using a Combination of ANFIS and Genetic Algorithms

This paper presents a novel method for the energy optimization of multi-carrier energy systems. The presented method combines an adaptive neuro-fuzzy inference system, to model and forecast the power demand of a plant, and a genetic algorithm to optimize its energy flow taking into account the dynam...

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Vydané v:	IEEE transactions on smart grid Ročník 9; číslo 3; s. 2276 - 2283
Hlavní autori:	Kampouropoulos, Konstantinos, Andrade, Fabio, Sala, Enric, Espinosa, Antonio Garcia, Romeral, Luis
Médium:	Journal Article Publikácia
Jazyk:	English
Vydavateľské údaje:	IEEE 01.05.2018 Institute of Electrical and Electronics Engineers (IEEE)
Predmet:	Dynamic optimization Electrical engineering Energy hub Energy optimization Energy prediction Enginyeria elèctrica Genetic algorithms Indexes Linear programming Manufacturing plants Mathematical model Mixed-integer programming Multicarrier systems Multiobjective problem Optimal control Optimization Power demand Predictive models Àrees temàtiques de la UPC
ISSN:	1949-3053, 1949-3061
On-line prístup:	Získať plný text
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