Searched for: subject%3A%22Model%255C%2BCalibration%22
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Tsitsilonis, Konstantinos Marios (author), Theotokatos, Gerasimos (author), Patil, Chaitanya (author), Coraddu, A. (author)
The advancements in digital twins when combined with the use of the machine learning tools can facilitate the effective health assessment and diagnostics of safety critical systems. This study aims at developing a framework to address the health assessment of marine engines utilising digital twins based on first-principles. This framework...
journal article 2023
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Cunillera, A. (author), Bešinović, Nikola (author), Lentink, Ramon M. (author), van Oort, N. (author), Goverde, R.M.P. (author)
The dynamics of a moving train are usually described by means of a motion model based on Newton's second law. This model uses as input track geometry data and train characteristics like mass, the parameters that model the running resistance, the maximum tractive effort and power, and the brake rates to be applied. It can reproduce and predict...
journal article 2023
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Koune, I.C. (author), Rózsás, Árpád (author), Slobbe, Arthur (author), Cicirello, A. (author)
The decreasing cost and improved sensor and monitoring system technology (e.g., fiber optics and strain gauges) have led to more measurements in close proximity to each other. When using such spatially dense measurement data in Bayesian system identification strategies, the correlation in the model prediction error can become significant. The...
journal article 2023
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Cunillera, A. (author), Bešinović, Nikola (author), van Oort, N. (author), Goverde, R.M.P. (author)
Train movement dynamics are usually modelled by means of Newton's second law. The resulting dynamic equation can be very precise if the parameters that it depends on are determined accurately. However, these parameters may vary in time and show wide variations, making the calibration task nontrivial and jeopardizing the performance of a broad...
journal article 2022
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Huang, Yuan (author), Zhang, Jiangjiang (author), Zheng, Feifei (author), Jia, Yueyi (author), Kapelan, Z. (author), Savić, Dragan (author)
Urban drainage models (UDMs) are often used to manage urban flooding. However, these models generally involve many parameters to represent the underlying complex hydrodynamic processes. This results in significant challenges to achieving effective and robust model calibration especially with frequently limited observations, leading to...
journal article 2022
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Harlequin, Denzel (author)
The overarching aim of this research is to contribute towards a best practice in modelling meso-scale O(10km), medium-term O(5yrs.) morphological features in Tidal & Estuarine environments. Therefore, various modelling aspects and stages are reviewed. The first pillar argues the need for numerical models in the...
student report 2021
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Menenti, M. (author), Li, Xin (author), Jia, Li (author), Yang, Kun (author), Pellicciotti, Francesca (author), Mancini, Marco (author), Shi, Jiancheng (author), Escorihuela, Maria José (author), Zheng, Chaolei (author)
This project explored the integrated use of satellite, ground observations and hydrological distributed models to support water resources assessment and monitoring in High Mountain Asia (HMA). Hydrological data products were generated taking advantage of the synergies of European and Chinese data assets and space-borne observation systems....
journal article 2021
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Mohammed, Safa A. (author), Solomatine, D.P. (author), Hrachowitz, M. (author), Hamouda, Mohamed A. (author)
Many calibrated hydrological models are inconsistent with the behavioral functions of catchments and do not fully represent the catchments’ underlying processes despite their seemingly adequate performance, if measured by traditional statistical error metrics. Using such metrics for calibration is hindered if only short-term data are...
journal article 2021
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León-Rueda, William A. (author), León Sánchez, C.A. (author), Caro, Sandra Gómez (author), Ramírez-Gil, Joaquín Guillermo (author)
The rapid and precise detection of diseases and plant disorders is the basis for the adequate and timely design of management strategies. Currently, there are several non-destructive alternatives that allow early detection, highlighting the use of spectral cameras attached to unmanned aerial vehicles (UAVs). The objective of this research was...
journal article 2021
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Evensen, Geir (author), Amezcua, Javier (author), Bocquet, Marc (author), Carrassi, Alberto (author), Farchi, Alban (author), Fowler, Alison (author), Houtekamer, Pieter L. (author), Jones, Christopher K. (author), Vossepoel, F.C. (author)
This work demonstrates the efficiency of using iterative ensemble smoothers to estimate the parameters of an SEIR model. We have extended a standard SEIR model with age-classes and compartments of sick, hospitalized, and dead. The data conditioned on are the daily numbers of accumulated deaths and the number of hospitalized. Also, it is possible...
journal article 2021
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Gharari, Shervan (author), Gupta, Hoshin V. (author), Clark, Martyn P. (author), Hrachowitz, M. (author), Fenicia, Fabrizio (author), Matgen, Patrick (author), Savenije, Hubert (author)
Process-based hydrological models seek to represent the dominant hydrological processes in a catchment. However, due to unavoidable incompleteness of knowledge, the construction of “fidelius” process-based models depends largely on expert judgment. We present a systematic approach that treats models as hierarchical assemblages of hypotheses ...
journal article 2021
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Manfren, Massimiliano (author), Nastasi, B. (author)
High efficiency paradigms and rigorous normative standards for new and existing buildings are fundamental components of sustainability and energy transitions strategies today. However, optimistic assumptions and simplifications are often considered in the design phase and, even when detailed simulation tools are used, the validation of...
journal article 2020
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van den Bos, L.M.M. (author), Sanderse, Benjamin (author), Bierbooms, W.A.A.M. (author), van Bussel, G.J.W. (author)
An efficient algorithm is proposed for Bayesian model calibration, which is commonly used to estimate the model parameters of non-linear, computationally expensive models using measurement data. The approach is based on Bayesian statistics: using a prior distribution and a likelihood, the posterior distribution is obtained through application...
journal article 2020
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Blauw, Mathieu (author)
The Dutch governmental organisation Rijkswaterstaat contributes to the smooth and safe flow of traffic, as both traffic jams and accidents cost society large amounts of money each day. Roads are designed for the current traffic composition. Due to the promotion of Adaptive Cruise Control (ACC) systems, utilisation of these systems is expected to...
master thesis 2019
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Liu, S. (author), Borovykh, Anastasia (author), Grzelak, L.A. (author), Oosterlee, C.W. (author)
A data-driven approach called CaNN (Calibration Neural Network) is proposed to calibrate financial asset price models using an Artificial Neural Network (ANN). Determining optimal values of the model parameters is formulated as training hidden neurons within a machine learning framework, based on available financial option prices. The...
journal article 2019
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Wang, Cheng-Kai (author)
To cut down immense greenhouse gases emission and energy consumption in the rapidly urbanizing world, a holistic understanding and rethinking of our dynamic urban energy system are inevitable. Performing bottom-up building energy modelings at urban scale based on Geographic Information System (GIS) and semantic 3D city models could be a...
master thesis 2018
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Xexakis, G. (author), Van den Dobbelsteen, A.A.J.F. (author)
Prêt-à-Loger, TU Delft’s entry to the Solar Decathlon Europe 2014 (SDE2014), demonstrated the conversion of a common terraced house to energy neutrality, whilst adding value to its living quality. The house was retrofitted according to principles of smart & bioclimatic design, using local circumstances intelligently in the sustainable redesign....
conference paper 2015
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Xexakis, G. (author)
The calculation of a residential Energy Label in the Netherlands and the payback time of an energy refurbishment are often affected by various inaccuracies between theoretical and actual achieved energy consumption. Even if improvements are attempted on either of them, significant problems occur such as the accuracy of input data for the...
master thesis 2015
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Thitisawat, M. (author), Polakit, K. (author), Caldieron, J.M. (author), Mangone, G. (author)
This paper is a part of a research project funded by Architectural Research Centers Consortium (ARCC) and Florida Atlantic University (FAU). The project focuses on finding a way to assess outdoor comfort and developing design criteria for a semitropical region of South Florida. A series of surveys has been conducted in the summer and fall...
conference paper 2011
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Caldieron, J.M. (author), Thitisawat, M. (author), Polakit, K. (author), Mangone, G. (author)
In tropical and subtropical areas, people can spend more time outdoors than in other latitudes. Understanding the sensitivity of outdoor comfort is a fundamental element for architects and urban designers working in these specific climates. This study is part of a research project attempting to relate climatic influences and human thermal...
conference paper 2011
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