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A parallel solution with GPU technology to predict energy c..:

Sánchez Iruela, José Rubén ; Baca Ruiz, Luis Gonzaga ; Pegalajar Jiménez, María Del Carmen.
Published version: J.R.S. Iruela, L.G.B. Ruiz, M.C. Pegalajar, M.I. Capel, A parallel solution with GPU technology to predict energy consumption in spatially distributed buildings using evolutionary optimization and artificial neural networks, Energy Conversion and Management, Volume 207, 2020, 112535, ISSN 0196-8904, https://doi.org/10.1016/j.enconman.2020.112535. , 2020

Link: https://hdl.handle.net/10481/87089

RT Journal
T1 <Title>A parallel solution with GPU technology to predict energy consumption in spatially distributed buildings using evolutionary optimization and artificial neural networks</Title>

UL https://suche.suub.uni-bremen.de/peid=base-ftunivgranada:oai:digibug.ugr.es:10481_87089&Exemplar=1&LAN=DE
				
A1 Sánchez Iruela, José Rubén
A1 Baca Ruiz, Luis Gonzaga
A1 Pegalajar Jiménez, María Del Carmen
A1 Capel Tuñón, Manuel Isidoro
PB Elsevier
YR 2020
K1 Energy consumption forecasting
K1 Artificial neural networks
K1 GPU
K1 Evolutionary algorithm
JF Published version: J.R.S. Iruela, L.G.B. Ruiz, M.C. Pegalajar, M.I. Capel, A parallel solution with GPU technology to predict energy consumption in spatially distributed buildings using evolutionary optimization and artificial neural networks, Energy Conversion and Management, Volume 207, 2020, 112535, ISSN 0196-8904, https://doi.org/10.1016/j.enconman.2020.112535
LK http://dx.doi.org/https://hdl.handle.net/10481/87089
DO https://hdl.handle.net/10481/87089
SF ELIB - SuUB Bremen

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