Searched for: subject%3A%22forecasting%22
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van Ouwerkerk, Gijs (author)
With the growing global drive to act up on climate change, the adoption of renewable energy sources such as solar photovoltaic (PV) is continuously increasing. This crucial shift poses many economic and environmental benefits, however the variability in solar PV generation may also threaten the stability of our power grid and energy supply. The...
master thesis 2021
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Diepenmaat, Frank (author)
Offshore contractors use special cable laying vessels (CLV’s) in order to install subsea power cables, which transport offshore generated energy. Workability studies are performed to evaluate whether operations can be performed or not. These workability studies are subsequently a combination between operability assessments (performed in OrcaFlex...
master thesis 2021
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Holland, Bram (author)
Coastal areas around the world have always been densely populated areas. However, sea-level-rise and an increase in single extreme events due to climate change, threaten the coastal areas and their inhabitants. Governmental organizations, coastal managers and various private parties thrive for better insights into long-term shoreline behavior...
master thesis 2021
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Broekman, Marleen (author)
For the shared mobility service providers, it is essential to have an economic operation and therefore, it is necessary to maximise their fleet utilisation. Of influence on the latter is the availability of the spare parts. The topics for which spare part forecasting research is already performed are different in several ways compared to the...
master thesis 2021
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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, Aliane (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
Searched for: subject%3A%22forecasting%22
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