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The Role of Weather Indicators in Energy ConsumptionNITU, C. , DOBRESCU, A. S. |
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Author keywords
energy consumption, polynomial regression, indoor comfort, prediction
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About this article
Date of Publication: 2008-04-02
Volume 8, Issue 1, Year 2008, On page(s): 17 - 20
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2008.01003
Web of Science Accession Number: 000259903500003
SCOPUS ID: 77955594048
Abstract
This paper presents a method for predicting the consumption of energy. The prediction is realized for the energy used for heating, where the thermal comfort has an important role. The equations that define the thermal comfort in function of the weather indicators are also mandatory for the research. |
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[1] Clustering Techniques in Load Profile Analysis for Distribution Stations, BOBRIC, E. C., CARTINA, G., GRIGORAS, G., Advances in Electrical and Computer Engineering, ISSN 1582-7445, Issue 1, Volume 9, 2009.
Digital Object Identifier: 10.4316/aece.2009.01011 [CrossRef] [Full text]
[2] Analysis of a new induction thermal converter for heating, Popa, Cezar, Pentiuc, Radu, Energy, ISSN 0360-5442, Issue 1, Volume 42, 2012.
Digital Object Identifier: 10.1016/j.energy.2011.07.046 [CrossRef]
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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania
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