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Prediction of building energy consumption using an improved real coded genetic algorithm based least squares support vector machine approach

Jung, Hyun Chul

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Prediction of building energy consumption using an improved real coded genetic algorithm based least squares support vector machine approach

Jung, Hyun Chul

Prediction of building energy consumption using an improved real coded genetic algorithm based least squares support vector machine approach

Jung, Hyun Chul

Access

Check availability in my library

Order at Subito €

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Document information

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Document information

Title:

Prediction of building energy consumption using an improved real coded genetic algorithm based least squares support vector machine approach

Contributors:

Jung, Hyun Chul (author) / Kim, Jin Sung / Heo, Hoon

Published in:

Energy and buildings ; 90

Publication date:

2015

ISSN:

DOI:

https://doi.org/10.1016/j.enbuild.2014.12.029

Type of media:

Article (Journal)

Type of material:

Print

Language:

English

Keywords:

Zeitschrift , Bauphysik

Classification:

BKL: 52.42 / 52.42 Heizungstechnik, Lüftungstechnik, Klimatechnik / 56.50 Technischer Ausbau / 56.55 Bauphysik, Bautenschutz / 56.55 / 56.65 / 56.00 / 56.65 Bauökologie, Baubiologie / 56.50
Local classification TIB: 645/6520/6605

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