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On the use of support vector machines for the prediction of propagation losses in smart metering systems.
Martino Uccellari
Francesca Facchini
Matteo Sola
Emilio Sirignano
Giorgio Matteo Vitetta
Andrea Barbieri
Stefano Tondelli
Published in:
MLSP (2016)
Keyphrases
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support vector
learning machines
knowledge based systems
prediction accuracy
smart grid
management system
intelligent systems
computer systems
logistic regression
decision trees
database systems
multi class
building blocks
large margin classifiers