Forecasting Electricity Prices Using Exogenous Parameters - the Case of Lithuania

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Keywords	forecasting, time series, machine learning, electricity prices
Thesis Advisor	Valogianni, K., Balocco, Francesco
Persistent URL	hdl.handle.net/2105/58730
Series	Business Information Management
Organisation	Rotterdam School of Management
Citation APA Style AAA Style APA Style Cell Style Chicago Style Harvard Style IEEE Style MLA Style Nature Style Vancouver Style American-Institute-of-Physics Style Council-of-Science-Editors Style BibTex Format Endnote Format RIS Format CSL Format DOIs only Format	Zubkus, Balys. (2021, August 30). Forecasting Electricity Prices Using Exogenous Parameters - the Case of Lithuania. Business Information Management. Retrieved from http://hdl.handle.net/2105/58730

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