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DKUM
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Title:
PREDVIDEVANJE MARGINALNE CENE ELEKTRIČNE ENERGIJE NA BORZI SOUTHPOOL ZA DAN VNAPREJ
Authors:
ID
Petrej, Aleš
(Author)
ID
Tičar, Igor
(Mentor)
More about this mentor...
ID
Jagrič, Timotej
(Mentor)
More about this mentor...
Files:
MAG_Petrej_Ales_2015.pdf
(4,35 MB)
MD5: 14C15F829CCB1EBC278918302E8FA6CB
Language:
Slovenian
Work type:
Master's thesis/paper
Typology:
2.09 - Master's Thesis
Organization:
FERI - Faculty of Electrical Engineering and Computer Science
Abstract:
V magistrskem delu se obravnava predvidevanje dnevne marginalne cene, ki se oblikuje na trgu za dan vnaprej. Delo se usmerjena v kratkoročno napovedovanje za dan vnaprej z znanimi podatki do prejšnjega dne. V nalogi je predstavljen elektroenergetski trg v Sloveniji, članici Evropske unije. Predstavljeno je delovanje sistema od proizvodnje do porabe s poudarkom na pomembnostih, ki vplivajo na trgovanje. Opisano je tudi delovanje borze, na katero se raziskava nanaša. Predvidevanje električne energije je izvedeno z linearnimi ekonometričnimi modeli, ki zajemajo borzne podatke časovnih vrst z dodanimi drugimi spremenljivkami. Rezultati predvidevanja kažejo, da lahko s takšnim modelom napovemo ceno električne energije za dan vnaprej, z dovolj majhnim intervalom napake.
Keywords:
trgovanje z energijo
,
predvidevanje cen
,
BSP SouthPool
,
elektroenergetski trg
,
borzne cene
,
ekonometrija
Place of publishing:
Maribor
Publisher:
[A. Petrej]
Year of publishing:
2015
PID:
20.500.12556/DKUM-47921
UDC:
339.17:621.31(043.2)
COBISS.SI-ID:
19065366
NUK URN:
URN:SI:UM:DK:XAPDQ4G1
Publication date in DKUM:
02.06.2015
Views:
2176
Downloads:
376
Metadata:
Categories:
KTFMB - FERI
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:
PETREJ, Aleš, 2015,
PREDVIDEVANJE MARGINALNE CENE ELEKTRIČNE ENERGIJE NA BORZI SOUTHPOOL ZA DAN VNAPREJ
[online]. Master’s thesis. Maribor : A. Petrej. [Accessed 27 March 2025]. Retrieved from: https://dk.um.si/IzpisGradiva.php?lang=eng&id=47921
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Secondary language
Language:
English
Title:
PREDICTING OF MARGINAL ELECTRICITY PRICE ON THE SOUTHPOOL ENERGY EXCHANGE FOR THE DAY-AHEAD MARKET
Abstract:
Proposed master thesis deals with the predicting of the daily marginal price determined by the market for the day ahead. The work focused on the short-term forecasting for the day ahead with known data until the previous day. The paper presents the electricity market in Slovenia, a member of the European Union. Presents the operation of the system from production to consumption with an emphasis on the importance of having an impact on trade. It also describes the operation of the power exchange on which the investigation relates. Prediction is carried out with linear econometric models, which include time series energy exchange data with the addition of other variables. Results projections show, that such model can predict the price of electricity for the day ahead, with enough small interval of error.
Keywords:
energy trading
,
price forecasting
,
predicting of price
,
BSP SouthPool
,
electricity market
,
exchange prices
,
econometrics
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