Creating an Energy Switcher Prediction Model
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2018-07-02
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nl
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Abstract
The aim of this research is to investigate the use of an Energy Switcher Prediction Model
for clients of the Volksbank. The model predicts to which energy supplier a client will go,
based on a clients transaction data. To make this prediction possible, the model should be
technically feasible enough, legally allowed and ethically responsible. If the outcome of this
research is positive, more services based on personal transaction data could be developed. On
the technical side of this research the collection of the dataset is described and the results
of the multilayer perceptron. The legal and ethical side of the research question is placed in
a framework which could be used for other machine learning applications. The results show
that an Energy Switcher Prediction Model is technical, legal and ethical not yet feasible and
future research is needed.
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Faculteit der Sociale Wetenschappen