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Statistical Models for Disaggregation and Reaggregation of Natural Gas Consumption Data

SYSNO ASEP	0436216
Document Type	J - Journal Article
R&D Document Type	Journal Article
Subsidiary J	Článek ve WOS
Title	Statistical Models for Disaggregation and Reaggregation of Natural Gas Consumption Data
Author(s)	Brabec, Marek (UIVT-O)_{RID, SAI, ORCID} Konár, Ondřej (UIVT-O)_{RID, SAI, ORCID} Malý, Marek (UIVT-O)_{RID, SAI} Kasanický, Ivan (UIVT-O)_{RID, ORCID} Pelikán, Emil (UIVT-O)_{SAI, RID}
Source Title	Journal of Applied Statistics. - : Taylor & Francis - ISSN 0266-4763 Roč. 42, č. 5 (2015), s. 921-937
Number of pages	17 s.
Language	eng - English
Country	GB - United Kingdom
Keywords	natural gas consumption ; semiparametric model ; standardized load profiles ; aggregation ; disaggregation ; 62P30
Subject RIV	BB - Applied Statistics, Operational Research
Institutional support	UIVT-O - RVO:67985807
UT WOS	000349904500001
EID SCOPUS	84924253191
DOI	10.1080/02664763.2014.993365
Annotation	In this paper, we present a unified framework for natural gas consumption modeling and forecasting. This consists of models of GAM class and their nonlinear extension, tailored for easy estimation, aggregation and treatment of the delayed relationship between temperature and consumption. Since the consumption data for households and small commercial customers are routinely available in many countries only as long-term sum meter readings, their disaggregation and possibly reaggregation to different time intervals is necessary for a variety of purposes. We show some examples of specific models based on the presented framework and then we demonstrate their use in practice, especially for the disaggregation and reaggregation tasks.
Workplace	Institute of Computer Science
Contact	Tereza Šírová, sirova@cs.cas.cz, Tel.: 266 053 800
Year of Publishing	2015

Number of the records: 1