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Predicting demand of natural gas: A system identification approach

Prins, R.R.A. (2014) Predicting demand of natural gas: A system identification approach. Master's Thesis / Essay, Mathematics.

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Abstract

In this thesis we construct a linear discrete-time time-invariant input/state/output system in order to predict the demand of natural gas based on the available data. A Python program is written to create this model based on the known input and output. Furthermore a methodology is established to give the best parameters of the system which lead to the best predictions.

Item Type: Thesis (Master's Thesis / Essay)
Degree programme: Mathematics
Thesis type: Master's Thesis / Essay
Language: English
Date Deposited: 15 Feb 2018 07:56
Last Modified: 15 Feb 2018 07:56
URI: http://fse.studenttheses.ub.rug.nl/id/eprint/11627

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