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The use of computational intelligence techniques for mid-term electricity price forecasting : master's thesis
ID
Fonseca, Miguel Fernandes da
(
Author
),
ID
Dias, José Miguel
(
Mentor
)
More about this mentor...
,
ID
Popovič, Aleš
(
Comentor
)
URL - Presentation file, Visit
http://www.cek.ef.uni-lj.si/magister/da_fonseca4194-B.pdf
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Language:
English
Keywords:
energetics
,
artificial intelligence
,
pricing
,
price
,
economic forecasting
,
research
,
analysis
Work type:
Master's thesis/paper
Typology:
2.09 - Master's Thesis
Organization:
EF - School of Economics and Business
Place of publishing:
Ljubljana
Publisher:
[M. F. Da Fonseca]
Year:
2021
Number of pages:
V, 69, 15 str.
PID:
20.500.12556/RUL-129408
UDC:
659.2:004
COBISS.SI-ID:
62568195
Publication date in RUL:
02.09.2021
Views:
751
Downloads:
28
Metadata:
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Secondary language
Language:
Slovenian
Title:
Uporaba tehnik računalniške inteligence za srednjeročno napovedovanje cen električne energije
Keywords:
energetika
,
umetna inteligenca
,
oblikovanje cene
,
cena
,
ekonomska predvidevanja
,
raziskave
,
analiza
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