The Role of Weather Indicators in Energy Consumption

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.

Bibliographic Details
Main Authors: NITU, C., DOBRESCU, A. S.
Format: Article
Language:English
Published: Stefan cel Mare University of Suceava 2008-04-01
Series:Advances in Electrical and Computer Engineering
Subjects:
Online Access:http://dx.doi.org/10.4316/AECE.2008.01003
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spelling doaj-f041cca1f1e94f9ab8a62b1a11f01ae02020-11-24T23:31:27ZengStefan cel Mare University of SuceavaAdvances in Electrical and Computer Engineering1582-74451844-76002008-04-01811720The Role of Weather Indicators in Energy ConsumptionNITU, C.DOBRESCU, A. S.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.http://dx.doi.org/10.4316/AECE.2008.01003energy consumptionpolynomial regressionindoor comfortprediction
collection DOAJ
language English
format Article
sources DOAJ
author NITU, C.
DOBRESCU, A. S.
spellingShingle NITU, C.
DOBRESCU, A. S.
The Role of Weather Indicators in Energy Consumption
Advances in Electrical and Computer Engineering
energy consumption
polynomial regression
indoor comfort
prediction
author_facet NITU, C.
DOBRESCU, A. S.
author_sort NITU, C.
title The Role of Weather Indicators in Energy Consumption
title_short The Role of Weather Indicators in Energy Consumption
title_full The Role of Weather Indicators in Energy Consumption
title_fullStr The Role of Weather Indicators in Energy Consumption
title_full_unstemmed The Role of Weather Indicators in Energy Consumption
title_sort role of weather indicators in energy consumption
publisher Stefan cel Mare University of Suceava
series Advances in Electrical and Computer Engineering
issn 1582-7445
1844-7600
publishDate 2008-04-01
description 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.
topic energy consumption
polynomial regression
indoor comfort
prediction
url http://dx.doi.org/10.4316/AECE.2008.01003
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AT dobrescuas theroleofweatherindicatorsinenergyconsumption
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