Searched for: subject:"forecasting"
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van Bentem, Koen (author)
This research focused on the techno-economic implementation of Sustainable Aviation Fuels (SAF). Carbon reduction in commercial aviation could be done via four key levers; technological efficiency improvement (aircraft or engine replacement), operational efficiency improvement (air traffic management or airline operations), the implementation of...
master thesis 2021
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Dutrieux, Sarah (author)
In an effort to improve an airport operation optimization model, this research investigates the possibility of predicting probability distributions of flight delays with machine learning algorithms. The research is centered around Rotterdam The Hague...
master thesis 2021
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Wink, Ruben (author)
Due to strong demand for air travel before the COVID-19 pandemic, major airports were constrained in capacity and this issue was expected to worsen in the coming decades. Novel aircraft (concepts) could help to alleviate these capacity constraints. However, the market competitiveness and impact of novel aircraft is often challenging to assess,...
master thesis 2020
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Hauth, Matthias (author)
The determination of geotechnical parameters from in-situ tests heavily relies on the use of empirical correlations relating field measurements to soil properties. A large number of these correlations can be found across the literature, each of them yielding a different outcome for the parameter value. This results in a high variability of the...
master thesis 2020
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Lacoa Arends, Eric (author)
The increasing penetration of weather-dependent energy sources brings additional challenges to the operation of the power system. Wind power forecasting is a valuable resource for these power operators: a tool that aids the decision-making process and facilitates risk management. On the other hand, the progress of machine learning and their...
master thesis 2020
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Nahimana, A. (author)
In this thesis, the quality and usefulness of crowdsourced precipitation measurements from 01/01/2019 to 31/01/2020 of 63 stations held by farmers in Burundi are investigated. Common sources of errors in the measurements are identified following field visits and discussions with farmers. Two filters for identifying and removing faulty zeros and...
master thesis 2020
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Zweekhorst, Jules (author)
The growing fleet of offshore wind farms in the North Sea imposes a lot of stress on the energy grid due to its volatile power production. Accurate forecasting models that can predict the power generation of these wind parks could help grid operators to keep the energy grid stable and reduce the re-dispatch of energy. Therefore the objective of...
master thesis 2020
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Wang, Xinyi (author)
This research explored two types of models, ARIMA and multiple linear regression, for forecasting tourist counts in 7 locations around Amsterdam red light district, for the prediction horizon of up to 30 minutes.
student report 2020
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Swart, Jeroen (author)
A time series is a series of data points indexed in time order. It can represent real world processes, such as demand for groceries, electricity usage and stock prices. Machine Learning (ML) models that accurately forecast these processes enable improved decision-making for reducing waste and increasing efficiency. Previous research has produced...
master thesis 2020
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Wang, Ziyulong (author)
To address the increasing passenger demand in the coming years and make public transport less crowded and delayed, insights into predicted passenger flow are needed. A wide range of studies has used and validated that smart card data can be one of the sound bases for predicting short-term passenger demand. However, it also has several...
master thesis 2020
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Tseremoglou, I. (author)
Cargo airlines' Revenue Management (RM) departments oversee the acceptance/rejection process of incoming bookings. The overarching goal is to accept as many bookings as possible, hence maximizing profit, while avoiding overbooking and offloading of already accepted shipments, to ensure customer satisfaction. This whole process is characterized...
master thesis 2020
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Esseveld, J.R. (author)
Records from ledgers of Dutch companies all across the Netherlands are used in this study. Records can be submitted in the ledgers with various lags, because the data of many different bookkeepers is involved with different workflows. Bookkeepers can be punctual or late, therefore records can be submitted with various lags in the ledgers. This...
master thesis 2020
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Slangen, Bram (author)
The long and therefore expensive training of aircraft maintenance technicians underline the need for accurate demand forecasts that allow for dynamic control of acquisition and training rate of personnel. This control enables human resource management to react swiftly to increases in workforce demand at times of technician shortages. To help...
master thesis 2020
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Grzebyk, Daniel (author)
An increasing number of photovoltaic (PV) systems are being installed worldwide and residential sector is responsible for a large part of this growth. Small scale PV systems do not have complex measuring devices and their breakdowns are not spotted immediately by the system owners. This might lead to prolonged time without generating power and...
master thesis 2020
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Keunen, Oscar (author)
Humans have always populated in the vicinity of river systems, where thesupply of water, nourishment and transportation is obtained from the river.However, inundation is a re-occurring problem and impact of floods are ex-pected to increase due to climate change. Accurate flood forecasting andearly warning is critical for disaster risk management...
master thesis 2020
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Verbruggen, Roderik (author)
Research and Objective: In the recent years the online grocery sector experienced an enormous uplift and evolved to a highly competitive business sector. Within this demanding environment, the need for strategic information has become extremely important, as it greatly enhances decision-making processes and the optimisation of the supply chain....
master thesis 2020
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Zhang, Zixin (author)
This study aims to explore the possibility of employing remote sensing images to build a probabilistic flood extent forecasting model. This model is constructed and tested in two study areas: New Orleans and Miami. Images that recorded flooding events are first performed with segmentation method Seed Region Growing, and segmented images are...
master thesis 2020
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Kenter, Jos (author)
Out of all the countries in the world, the Netherlands has the most ‘autonomous vehicle’-ready road network (KPMG, 2019). It is the result of years of investing in state-of-the-art technologies and putting in place the needed policies, and it seems to pay off: our country is likely to be amongst the early adapters as soon as these vehicles enter...
master thesis 2020
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Mesfum, Johannes (author)
The flight planning process is an extensive and long process to direct and maintain a high level of operations within the airspace. As air traffic demand grows year after year, it's worthwhile to optimise the European air traffic system further. One way of optimising the system, is by creating optimal flight schedules that solve for demand...
master thesis 2020
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van den Munckhof, Gijs (author)
The objective of this study is find out whether maximum daily discharge of the Geul and Rur catchments can be forecast using machine learning (ML) methods, and if so, to what extent. In addition, these ML models are compared to a conceptual model to see which performs better. A second objective is to test whether soil moisture content (SMC) and...
master thesis 2020
Searched for: subject:"forecasting"
(1 - 20 of 84)

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