Energies | |
Experimental Analysis of the Input Variables’ Relevance to Forecast Next Day’s Aggregated Electric Demand Using Neural Networks | |
Luis Hernández2  Carlos Baladrón3  Javier M. Aguiar3  Lorena Calavia3  Belén Carro3  Antonio Sánchez-Esguevillas3  Pablo Garc1  | |
[1] Faculty of Sciences, University of Oviedo, c/Calvo Sotelo s/n, Oviedo 33007, Spain; E-Mail:;CIEMAT (Research Centre for Energy, Environment and Technology), Autovía de Navarra A15, salida 56, Lubia 42290, Soria, Spain; E-Mail:;Escuela Técnica Superior de Ingenieros de Telecomunicación, Universidad de Valladolid, Campus Miguel Delibes, Paseo de Belén 15, Valladolid 47011, Spain; E-Mails: | |
关键词: artificial neural network; aggregated load; smart grid; microgrid; multilayer perceptron; | |
DOI : 10.3390/en6062927 | |
来源: mdpi | |
【 摘 要 】
Thanks to the built in intelligence (deployment of new intelligent devices and sensors in places where historically they were not present), the
【 授权许可】
CC BY
© 2013 by the authors; licensee MDPI, Basel, Switzerland.
【 预 览 】
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RO202003190035371ZK.pdf | 3655KB | download |