Use this url to cite publication: https://hdl.handle.net/20.500.12259/59641
Electricity price forecasting for Nord Pool data using recurrent neural networks
Type of publication
Straipsnis konferencijos medžiagoje Scopus duomenų bazėje / Article in conference proceedings in Scopus database (P1a2)
Author(s)
| Author | Affiliation | |||
|---|---|---|---|---|
LT | Baltijos pažangių technologijų institutas, Vilnius | LT | ||
LT | Baltijos pažangių technologijų institutas, Vilnius | LT |
Title
Electricity price forecasting for Nord Pool data using recurrent neural networks
Is part of
CEUR Workshop proceedings [electronic resource]: IVUS 2018, International conference on information technologies, Kaunas, Lithuania, 27 April, 2018. Aachen : CEUR-WS, 2018, Vol. 2145
Date Issued
| Date |
|---|
2018 |
Publisher
Aachen : CEUR-WS
Is Referenced by
Extent
p. 75-78
Abstract (en)
Forecasts of electricity spot price can be very useful for participants of electricity market in order to maximize profits, minimize risks and make future strategies. In literature various methods are applied for solving this problem. However, the same approaches let achieve different results with distinct 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 using recurrent neural networks and results are reported.
Type of document
type::text::journal::journal article::research article
Language
Anglų / English (en)
Coverage Spatial
Vokietija / Germany (DE)
ISSN (of the container)
1613-0073
Other Identifier(s)
VDU02-000023021
Access Rights
Apribota prieiga / Restricted Access
| Journal | Cite Score | SNIP | SJR | Year | Quartile |
|---|---|---|---|---|---|
CEUR Workshop Proceedings | 0.6 | 0.313 | 0.166 | 2018 | Q4 |