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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 and 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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