Semiparametric modeling of the spatiotemporal trends in natural gas consumption: Methodology, results, and consequences
Marek Brabec,
Ondřej Konár,
Ivan Kasanický,
Marek Malý and
Emil Pelikán
Applied Stochastic Models in Business and Industry, 2020, vol. 36, issue 1, 184-194
Abstract:
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.
Date: 2020
References: Add references at CitEc
Citations:
Downloads: (external link)
https://doi.org/10.1002/asmb.2474
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:wly:apsmbi:v:36:y:2020:i:1:p:184-194
Access Statistics for this article
More articles in Applied Stochastic Models in Business and Industry from John Wiley & Sons
Bibliographic data for series maintained by Wiley Content Delivery ().