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Napoved urne porabe električne energije za dan vnaprej z metodami strojnega učenja : magistrsko delo
ID
Lečnik, Jure
(
Author
),
ID
Košir, Tomaž
(
Mentor
)
More about this mentor...
,
ID
Velušček, Dejan
(
Comentor
)
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MD5: C80944F68D398DFCC4B744D0344637D0
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Language:
Slovenian
Keywords:
nevronske mreže
,
metoda podpornih vektorjev
,
SVM
,
SVR
,
poraba elektrike
,
predprocesiranje podatkov
,
xgboost
Work type:
Master's thesis/paper
Typology:
2.09 - Master's Thesis
Organization:
FMF - Faculty of Mathematics and Physics
Place of publishing:
Ljubljana
Publisher:
[J. Lečnik]
Year:
2017
Number of pages:
57 str.
PID:
20.500.12556/RUL-100870
UDC:
51
COBISS.SI-ID:
18214233
Publication date in RUL:
18.04.2018
Views:
1635
Downloads:
367
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Secondary language
Language:
English
Title:
Forecast of hourly day-ahead electricity consumption with machine learning methods
Keywords:
neural networks
,
SVM
,
SVR
,
electricity consumption
,
data preprocessing
,
xgboost
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