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Statistical Models for Disaggregation and Reaggregation of Natural Gas Consumption Data

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985807%3A_____%2F15%3A00436216" target="_blank" >RIV/67985807:_____/15:00436216 - isvavai.cz</a>

  • Alternative codes found

    RIV/00216208:11320/15:10285455

  • Result on the web

    <a href="http://dx.doi.org/10.1080/02664763.2014.993365" target="_blank" >http://dx.doi.org/10.1080/02664763.2014.993365</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1080/02664763.2014.993365" target="_blank" >10.1080/02664763.2014.993365</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Statistical Models for Disaggregation and Reaggregation of Natural Gas Consumption Data

  • Original language description

    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 timeintervals 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.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

  • CEP classification

    BB - Applied statistics, operational research

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2015

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Journal of Applied Statistics

  • ISSN

    0266-4763

  • e-ISSN

  • Volume of the periodical

    42

  • Issue of the periodical within the volume

    5

  • Country of publishing house

    GB - UNITED KINGDOM

  • Number of pages

    17

  • Pages from-to

    921-937

  • UT code for WoS article

    000349904500001

  • EID of the result in the Scopus database