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@inproceedings{1579819,
author = {Sedláček, Pavel and Láncošová, Elena},
booktitle = {Proceedings of the 16th International Conference on Environmental Science and Technology, CEST2019_00495},
keywords = {electricity, forecasting, prices},
howpublished = {elektronická verze "online"},
language = {eng},
publisher = {CEST2019},
title = {Prediction of Electricity Prices},
url = {https://cest2019.gnest.org/sites/default/files/presentation_file_list/cest2019_00495_posterf_paper.pdf},
year = {2019}
}
TY - JOUR
ID - 1579819
AU - Sedláček, Pavel - Láncošová, Elena
PY - 2019
TI - Prediction of Electricity Prices
PB - CEST2019
KW - electricity, forecasting, prices
UR - https://cest2019.gnest.org/sites/default/files/presentation_file_list/cest2019_00495_posterf_paper.pdf
N2 - Analysis of time series that might have an impact on prices of energy commodities. Econometric modelling reveal which time series are corelated and how. This is input for further modelling of forecasting tool for electricity prices on Czech energy market trading commodity futures.
ER -
SEDLÁČEK, Pavel a Elena LÁNCOŠOVÁ. Prediction of Electricity Prices. Online. In \textit{Proceedings of the 16th International Conference on Environmental Science and Technology, CEST2019\_{}00495}. CEST2019, 2019. ISSN~1106-5516.
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