Semiparametric modeling of the spatiotemporal trends in natural gas consumption: Methodology, results, and consequences

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985807%3A_____%2F20%3A00507525" target="_blank" >RIV/67985807:_____/20:00507525 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/68407700:21260/20:00348897 RIV/68407700:21730/20:00348897 RIV/00216208:11320/20:10454993

Výsledek na webu

<a href="http://dx.doi.org/10.1002/asmb.2474" target="_blank" >http://dx.doi.org/10.1002/asmb.2474</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1002/asmb.2474" target="_blank" >10.1002/asmb.2474</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Semiparametric modeling of the spatiotemporal trends in natural gas consumption: Methodology, results, and consequences

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Semiparametric modeling of the spatiotemporal trends in natural gas consumption: Methodology, results, and consequences

Popis výsledku anglicky

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.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

10103 - Statistics and probability

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2020

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Applied Stochastic Models in Business and Industry

ISSN

1524-1904

e-ISSN

—

Svazek periodika

36

Číslo periodika v rámci svazku

1

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

11

Strana od-do

184-194

Kód UT WoS článku

000479576800001

EID výsledku v databázi Scopus

2-s2.0-85081420667