Título:
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A methodology for energy prediction and optimization of a system based on the Energy Hub Concept using Particle Swarms
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Autor/a:
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Kampouropoulos, Konstantinos; Andrade, Fabio; Cárdenas Araújo, Juan José; Romeral Martínez, José Luis
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Otros autores:
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Universitat Politècnica de Catalunya. Departament d'Enginyeria Electrònica; Universitat Politècnica de Catalunya. MCIA - Motion Control and Industrial Applications Research Group |
Abstract:
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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:
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Peer Reviewed |
Materia(s):
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-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 |
Derechos:
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Tipo de documento:
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Artículo - Versión presentada Objeto de conferencia |
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