Electricity consumption prediction with functional linear regression using spline estimation
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F10%3A10048599" target="_blank" >RIV/00216208:11320/10:10048599 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Electricity consumption prediction with functional linear regression using spline estimation
Original language description
A functional linear regression model linking observations of a functional response variable with measurements of an explanatory functional variable is considered. This model serves to analyse a real data set describing electricity consumption in Sardinia. The interest lies in predicting either oncoming weekends' or oncoming weekdays' consumption, provided actual weekdays' consumption is known.A B-spline estimator of the functional parameter is used. Selected computational issues are addressed as well.
Czech name
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Czech description
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Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
BB - Applied statistics, operational research
OECD FORD branch
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Result continuities
Project
<a href="/en/project/GA201%2F09%2F0755" target="_blank" >GA201/09/0755: Modelling nonhomogeneous time series</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2010
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Journal of Applied Statistics
ISSN
0266-4763
e-ISSN
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Volume of the periodical
37
Issue of the periodical within the volume
12
Country of publishing house
US - UNITED STATES
Number of pages
15
Pages from-to
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UT code for WoS article
000284416000005
EID of the result in the Scopus database
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