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01397nam 2200457 4500 |
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20171120135200.0 |
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100515s2013 ci |||| |m 0|| 0|hrv d |
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|a (HR-ZaZAG)000211538
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|a HR-ZaKON
|b hrv
|c HR-ZaKON
|e ppiak
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100 |
1 |
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|a Matijaš, Marin,
|c glazbenik
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245 |
1 |
0 |
|a Electric load forecasting using multivariate meta-learning =Predviđanje potrošnjeelektrične energije multivarijatnim metaučenjem :
|b doktorska disertacija /
|c Marin Matijaš.
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260 |
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|a Zagreb :
|b Fakultet elektrotehnike i računarstva,
|c 2013.
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300 |
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|a 143 str. ;
|e 30 cm
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504 |
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|a Supervisor: Slavko Krajcar
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653 |
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|a Artificial Neural Networks
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653 |
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|a Demand Forecasting
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653 |
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|a Electric Load
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653 |
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|a Electricity Consumption
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653 |
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|a Retail Electricity
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653 |
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|a Estimation
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653 |
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|a Gaussian Processes
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653 |
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|a General Load Forecaste
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653 |
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|a Least Squares Support Vector Machines
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653 |
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|a Meta-Learning
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653 |
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|a Meta-features
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653 |
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|a Power
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653 |
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|a Prediction
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653 |
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|a Short-Term Load Forecasting
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653 |
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|a STLF
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653 |
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|a Support Vector Regression
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653 |
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|a SVM
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653 |
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|a Time-Series
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700 |
1 |
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|a Krajcar, Slavko
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OWN |
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|a KON
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SRC |
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|a KON
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852 |
4 |
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|a DOK - 72 K
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876 |
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|e D
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