Semiparametric modeling of the spatiotemporal trends in natural gas consumption: Methodology, results, and consequences
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F20%3A10454993" target="_blank" >RIV/00216208:11320/20:10454993 - isvavai.cz</a>
Alternative codes found
RIV/67985807:_____/20:00507525 RIV/68407700:21260/20:00348897 RIV/68407700:21730/20:00348897
Result on the web
<a href="https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=VwjDfnnfvE" target="_blank" >https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=VwjDfnnfvE</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1002/asmb.2474" target="_blank" >10.1002/asmb.2474</a>
Alternative languages
Result language
angličtina
Original language name
Semiparametric modeling of the spatiotemporal trends in natural gas consumption: Methodology, results, and consequences
Original language description
Household consumption of natural gas is usually considered to be quite stable as cooking, space, and water heating belong to basic needs. The improvement of technologies together with possibilities of switching to alternative sources can, however, lead to a decreasing consumption trend. Knowing more about such trend, especially of its spatial distribution, can be useful for strategic planning. In this paper, we describe a general statistical methodology allowing to study the spatiotemporal behavior of consumption. It is based on semiparametric modeling. Formalized error and sensitivity analyses are part of the methodology. Presented methods are illustrated on large-scale data from the Czech Republic.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
—
OECD FORD branch
10103 - Statistics and probability
Result continuities
Project
—
Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Applied Stochastic Models in Business and Industry
ISSN
1524-1904
e-ISSN
1526-4025
Volume of the periodical
36
Issue of the periodical within the volume
1
Country of publishing house
GB - UNITED KINGDOM
Number of pages
11
Pages from-to
184-194
UT code for WoS article
000479576800001
EID of the result in the Scopus database
2-s2.0-85081420667