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The Role of Weather Indicators in Energy ConsumptionNITU, C. , DOBRESCU, A. S.
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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
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.
|References|||||Cited By «-- Click to see who has cited this paper|
| B. L. Capehart, L. C. Capehart, "Web based energy information and control system: Case Studies and Applications", CRC Press, 2005.
 Intelligent buildings - learning modules [Online] Available: Temporary on-line reference link removed - see the PDF document
 Memarzadeh, F., A. Manning, "Thermal Comfort, Uniformity, and Ventilation Effectiveness in Patient Rooms: Performance Assessment Using Ventilation Indices, In ASHRAE Transaction", 2000.
 C. Nitu, V. F. Krapivin, A. Bruno, "Modelarea proceselor in ecologie", Ed. Printech, Bucuresti, 2000.
 K. F. Geoffrey, K. W. Kelvin, "Predicting electricity energy consumption: A comparison of regression analysis, decision tree and neural networks", 2007.
[CrossRef] [Web of Science Times Cited 177] [SCOPUS Times Cited 232]
 W. Popinski, "Consistency of trigonometric and polynomial regression estimation", Warsaw, Applied Mathematics, 1998.
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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania
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