A methodology for energy prediction and optimization of a system based on the Energy Hub Concept using Particle Swarms

All of RECERCAT

To access the full text documents, please follow this link: http://hdl.handle.net/2117/107536

Title:	A methodology for energy prediction and optimization of a system based on the Energy Hub Concept using Particle Swarms
Author:	Kampouropoulos, Konstantinos; Andrade, Fabio; Cárdenas Araújo, Juan José; Romeral Martínez, José Luis
Other authors:	Universitat Politècnica de Catalunya. Departament d'Enginyeria Electrònica; Universitat Politècnica de Catalunya. MCIA - Motion Control and Industrial Applications Research Group
Abstract:	In this paper, a methodology for the energy prediction for the different consumptions of a system based in the Energy Hub concept is presented. The methodology that has been used for the energy prediction is based on an Adaptive Neuro-Fuzzy Inference System. An optimization method based on Particle Swarms has been used to minimize the energy cost of a system with multiple sources such as, photovoltaic, electrical grid and natural gas.
Abstract:	Peer Reviewed
Subject(s):	-Àrees temàtiques de la UPC::Enginyeria elèctrica::Producció d’energia elèctrica -Àrees temàtiques de la UPC::Informàtica::Automàtica i control -Particles -Force and energy -Forecasting -Energy Prediction -Adaptive Neuro-Fuzzy Inference System -Energy Hub -Particle Swarm Optimization -Partícules (Matèria) -Energia -Previsió
Rights:
Document type:	Article - Submitted version Conference Object
Share: