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

0507525 - ÚI 2021 RIV US eng J - Journal Article
Brabec, Marek - Konár, Ondřej - Kasanický, Ivan - Malý, Marek - Pelikán, Emil
Semiparametric modeling of the spatiotemporal trends in natural gas consumption: Methodology, results, and consequences.
Applied Stochastic Models in Business and Industry. Roč. 36, č. 1 (2020), s. 184-194. ISSN 1524-1904. E-ISSN 1526-4025
Institutional support: RVO:67985807
Keywords : consumption trend * energy consumption modeling * natural gas * semiparametric modeling * spatiotemporal modeling
OECD category: Statistics and probability
Impact factor: 1.338, year: 2020
Method of publishing: Limited access
http://dx.doi.org/10.1002/asmb.2474

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.
Permanent Link: http://hdl.handle.net/11104/0298514