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) |
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| 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: | https://fse.studenttheses.ub.rug.nl/id/eprint/11627 |
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