Forecasting prices of electricity on HUPX (CROSBI ID 581189)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Mileta, Dino ; Šimić, Zdenko ; Skok, Minea
engleski
Forecasting prices of electricity on HUPX
The development of new simulation techniques by using Artificial Intelligence (AI) has become an improved tool to better forecast energy prices. This paper demonstrates building and validating a short term model for Hungarian day ahead power market - HUPX electricity price forecasting. This models takes into account multiple sources of information ; the data set used is a table of historical hourly loads, electricity prices and other regional information's. Paper is discussing the application of intelligent systems to short term electricity prices forecasting and outlining proposed research direction.
AI; HUPX; electricity price
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Podaci o prilogu
204-208.
2011.
objavljeno
Podaci o matičnoj publikaciji
Proceedings of Energy Market (EEM), 2011 8th International Conference
Podaci o skupu
Energy Market (EEM), 2011 8th International Conference
predavanje
25.05.2011-27.05.2011
Zagreb, Hrvatska