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Testing a statistical forecasting model of electric energy consumption for two regions in the Czech Republic

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67179843%3A_____%2F15%3A00456363" target="_blank" >RIV/67179843:_____/15:00456363 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Testing a statistical forecasting model of electric energy consumption for two regions in the Czech Republic

  • Original language description

    Precise forecasting of electric energy consumption is of great importance for the electric power industry. It helps system operators optimally schedule and control power systems, and even slight improvements in prediction accuracy might yield large savings or profits. For these reasons, many forecasting models based on various principles have been developed and studied. Because of energy consumption?s strong dependence on weather conditions, such models often utilize outputs from numerical weather prediction models. In this study, we present and analyse a statistical model for forecasting hourly electrical energy consumption by customers of E.ON Energie, a.s. in two regions of the Czech Republic. The aim of this model is to create hourly predictions upto several days in advance. The model uses hourly data of consumed energy from 2011?2014 and corresponding predictions of temperature and cloudiness provided by the ALADIN/ CZ model. The statistical model is based on a regression analysi

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    EH - Ecology - communities

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/LO1415" target="_blank" >LO1415: CzechGlobe 2020 – Development of the Centre of Global Climate Change Impacts Studies</a><br>

  • 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

  • Article name in the collection

    Global Change: A Complex Challenge : Conference Proceedings

  • ISBN

    978-80-87902-10-3

  • ISSN

  • e-ISSN

  • Number of pages

    4

  • Pages from-to

    178-181

  • Publisher name

    Global Change Research Centre, The Czech Academy of Sciences, v. v. i.

  • Place of publication

    Brno

  • Event location

    Brno

  • Event date

    Mar 23, 2015

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article