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
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DOI - Digital Object Identifier
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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
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
EH - Ecology - communities
OECD FORD branch
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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
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e-ISSN
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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
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