Please use this identifier to cite or link to this item:https://hdl.handle.net/20.500.12259/36091
Type of publication: Straipsnis konferencijos medžiagoje Clarivate Analytics Web of Science ar/ir Scopus / Article in Clarivate Analytics Web of Science or Scopus DB conference proceedings (P1a)
Field of Science: Informatika / Computer science (N009)
Author(s): Beigaitė, Rita;Krilavičius, Tomas
Title: Electricity price forecasting for Nord Pool data
Is part of: CEUR Workshop proceedings [electronic resource]: IVUS 2017: proceedings of the IVUS international conference on information technology, Kaunas, Lithuania, April 28, 2017. Aachen : CEUR-WS, 2017, Vol. 1856
Extent: p. 37-42
Date: 2017
Keywords: Electricity spot price;Forecasting;Lithuania’s price zone
Abstract: Due to worldwide liberalization of power markets, electricity can be purchased and sold as any other commodity. The market spot price of electricity has features such as high volatility, seasonality and spikes. In order to minimize risks, maximize profits and make future plans, it is important for participants of electricity market to forecast future prices. The vast number of various methods is applied for solving this problem. However, the accuracy of forecasts is not sufficient, different approaches work differently with different countries (markets). In this paper we describe our experiments with electricity spot price data of Lithuania’s price zone in Nord Pool power market. Short-term forecasts are made by using Average, Seasonal Naïve and Exponential smoothing methods, and results are reported
Internet: https://hdl.handle.net/20.500.12259/36091
https://eltalpykla.vdu.lt/handle/1/36091
http://ceur-ws.org/Vol-1856/p07.pdf
Affiliation(s): Baltijos pažangių technologijų institutas, Vilnius
Informatikos fakultetas
Taikomosios informatikos katedra
Vytauto Didžiojo universitetas
Appears in Collections:3. Konferencijų medžiaga / Conference materials
Universiteto mokslo publikacijos / University Research Publications

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