Prediction of Electricity Prices, Comparison of Germany and the Czech Republic

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14560%2F19%3A00111250" target="_blank" >RIV/00216224:14560/19:00111250 - isvavai.cz</a>

Výsledek na webu

<a href="https://is.muni.cz/do/econ/sborniky/2019/Proceedings_final.pdf" target="_blank" >https://is.muni.cz/do/econ/sborniky/2019/Proceedings_final.pdf</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Prediction of Electricity Prices, Comparison of Germany and the Czech Republic

Popis výsledku v původním jazyce

This paper analyzes time series that might have an impact on prices of energy commodities. Analysis and econometric modelling reveal which time series are corelated and how and the difference of Czech and German commodity exchange markets. This is input for further modelling of forecasting tool for electricity future prices prediction in near future. Selected time series are electricity and gas prices, contracted quantity per day, oil prices, coal prices, prices of emission allowances, weather (temperature and sunlight defining the consumption of energies), prices of electricity on day ahead market, currency exchange rate (EUR/CZK and EUR/USD) and correlation of particular week day. For the predicted value was chosen price of electricity on EEX for Germany and Czech Republic. The product is future “Cal+1” (product delivery is in next year) and time series were selected for period 1/2015-12/2018.

Název v anglickém jazyce

Prediction of Electricity Prices, Comparison of Germany and the Czech Republic

Popis výsledku anglicky

This paper analyzes time series that might have an impact on prices of energy commodities. Analysis and econometric modelling reveal which time series are corelated and how and the difference of Czech and German commodity exchange markets. This is input for further modelling of forecasting tool for electricity future prices prediction in near future. Selected time series are electricity and gas prices, contracted quantity per day, oil prices, coal prices, prices of emission allowances, weather (temperature and sunlight defining the consumption of energies), prices of electricity on day ahead market, currency exchange rate (EUR/CZK and EUR/USD) and correlation of particular week day. For the predicted value was chosen price of electricity on EEX for Germany and Czech Republic. The product is future “Cal+1” (product delivery is in next year) and time series were selected for period 1/2015-12/2018.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

50206 - Finance

Projekt

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Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2019

Kód důvěrnosti údajů

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

Název statě ve sborníku

Proceedings of the 16th International Scientific Conference European Financial Systems 2019, od s. 510-515, 664 s. 2019.

ISBN

9788021093386

ISSN

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e-ISSN

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Počet stran výsledku

6

Strana od-do

510-515

Název nakladatele

Masaryk University

Místo vydání

Brno

Místo konání akce

Brno

Datum konání akce

24. 7. 2019

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000503222600060