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Matallanas de Avila, Eduardo and Castillo Cagigal, Manuel and Gutiérrez Martín, Álvaro and Monasterio-Huelin Maciá, Felix and Caamaño Martín, Estefanía and Masa Bote, Daniel and Jiménez Leube, Francisco Javier (2012). Neural network controller for active demand side management with PV energy in the residential sector. "Applied Energy", v. 91 (n. 1); pp. 90-97. ISSN 0306-2619. https://doi.org/10.1016/j.apenergy.2011.09.004.
Title: | Neural network controller for active demand side management with PV energy in the residential sector |
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Author/s: |
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Item Type: | Article |
Título de Revista/Publicación: | Applied Energy |
Date: | March 2012 |
ISSN: | 0306-2619 |
Volume: | 91 |
Subjects: | |
Freetext Keywords: | Demand-Side Management; Distributed energy; PV systems; Control system; Artificial Neural Network; Genetic algorithm |
Faculty: | E.T.S.I. Telecomunicación (UPM) |
Department: | Tecnologías Especiales Aplicadas a la Aeronáutica [hasta 2014] |
Creative Commons Licenses: | Recognition - No derivative works - Non commercial |
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In this paper, we describe the development of a control system for Demand-Side Management in the residential sector with Distributed Generation. The electrical system under study incorporates local PV energy generation, an electricity storage system, connection to the grid and a home automation system. The distributed control system is composed of two modules: a scheduler and a coordinator, both implemented with neural networks. The control system enhances the local energy performance, scheduling the tasks demanded by the user and maximizing the use of local generation.
Item ID: | 16855 |
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DC Identifier: | https://oa.upm.es/16855/ |
OAI Identifier: | oai:oa.upm.es:16855 |
DOI: | 10.1016/j.apenergy.2011.09.004 |
Official URL: | http://www.sciencedirect.com/science/article/pii/S0306261911005630 |
Deposited by: | Memoria Investigacion |
Deposited on: | 10 Aug 2013 08:53 |
Last Modified: | 21 Apr 2016 17:12 |