Grey-box modelling and forecasting of stormwater flow in sewer systems

The goal of this thesis is to wrap up my endeavours in the realm of modellingand probabilistic forecasting. The work is anchored in my two quite differetpapers and is therefore essentially two-legged. The firs leg deals with the devel-opment and estimation of a grey-box model suited for forecasting,...

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Main Author: Bjerregård, Mathias Blicher
Other Authors: Dusit Niyato
Format: Thesis-Doctor of Philosophy
Language:English
Published: Nanyang Technological University 2025
Subjects:
Online Access:https://hdl.handle.net/10356/182532
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author Bjerregård, Mathias Blicher
author2 Dusit Niyato
author_facet Dusit Niyato
Bjerregård, Mathias Blicher
author_sort Bjerregård, Mathias Blicher
collection NTU
description The goal of this thesis is to wrap up my endeavours in the realm of modellingand probabilistic forecasting. The work is anchored in my two quite differetpapers and is therefore essentially two-legged. The firs leg deals with the devel-opment and estimation of a grey-box model suited for forecasting, and this is theprimary subject of the thesis. In this case, I study the modelling and forecastingof rainfall-response in a Danish stormwater tunnel, but the focus is really onthe modelling process and its inherent challenges rather than the specifi case.This exploration would therefore be relevant for practical grey-box modellerswithin many fields e.g. wind power forecasting and financia forecasting. Thesecond leg deals with forecast evaluation, and is exemplifie by applying someevaluation metrics to the stormwater forecasting model developed in the firs legfollowed by a discussion of what kind of value is gained from such an evaluationeffort Again, the relevance of the demonstrated work on forecast evaluation isnot limited to the specifi case, but can be equivalently applied to probabilisticforecasts in other areas.
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spelling ntu-10356/1825322025-03-04T02:57:33Z Grey-box modelling and forecasting of stormwater flow in sewer systems Bjerregård, Mathias Blicher Dusit Niyato Interdisciplinary Graduate School (IGS) Technical University of Denmark DNIYATO@ntu.edu.sg Computer and Information Science The goal of this thesis is to wrap up my endeavours in the realm of modellingand probabilistic forecasting. The work is anchored in my two quite differetpapers and is therefore essentially two-legged. The firs leg deals with the devel-opment and estimation of a grey-box model suited for forecasting, and this is theprimary subject of the thesis. In this case, I study the modelling and forecastingof rainfall-response in a Danish stormwater tunnel, but the focus is really onthe modelling process and its inherent challenges rather than the specifi case.This exploration would therefore be relevant for practical grey-box modellerswithin many fields e.g. wind power forecasting and financia forecasting. Thesecond leg deals with forecast evaluation, and is exemplifie by applying someevaluation metrics to the stormwater forecasting model developed in the firs legfollowed by a discussion of what kind of value is gained from such an evaluationeffort Again, the relevance of the demonstrated work on forecast evaluation isnot limited to the specifi case, but can be equivalently applied to probabilisticforecasts in other areas. Doctor of Philosophy 2025-02-07T00:54:01Z 2025-02-07T00:54:01Z 2025 Thesis-Doctor of Philosophy Bjerregård, M. B. (2025). Grey-box modelling and forecasting of stormwater flow in sewer systems. Doctoral thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/182532 https://hdl.handle.net/10356/182532 10.32657/10356/182532 en This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0). application/pdf Nanyang Technological University
spellingShingle Computer and Information Science
Bjerregård, Mathias Blicher
Grey-box modelling and forecasting of stormwater flow in sewer systems
title Grey-box modelling and forecasting of stormwater flow in sewer systems
title_full Grey-box modelling and forecasting of stormwater flow in sewer systems
title_fullStr Grey-box modelling and forecasting of stormwater flow in sewer systems
title_full_unstemmed Grey-box modelling and forecasting of stormwater flow in sewer systems
title_short Grey-box modelling and forecasting of stormwater flow in sewer systems
title_sort grey box modelling and forecasting of stormwater flow in sewer systems
topic Computer and Information Science
url https://hdl.handle.net/10356/182532
work_keys_str_mv AT bjerregardmathiasblicher greyboxmodellingandforecastingofstormwaterflowinsewersystems