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van Doorn, Victor (author)Future energy systems are expected to rely increasingly more on distributed energy resources (DER). Prosumers that own energy resources such as photovoltaic (PV) generation and energy storage systems, will play a crucial role in the realization of DER’s in future power systems. Limited grid connections due to local electricity congestion make it...master thesis 2022
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Varma, Vivek (author)Automated driving is where automobiles meet robotics. With the recent advances in intelligence, sensor technology, wireless technology, and computation power, we are inching ever closer to realising full autonomy in a vehicle. We are nowhere near the end of the line, however. Automated vehicles will have to interact with static obstacles like...master thesis 2022
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Scarabaggio, P. (author), Grammatico, S. (author), Carli, Raffaele (author), Dotoli, Mariagrazia (author)In this article, we propose a distributed demand-side management (DSM) approach for smart grids taking into account uncertainty in wind power forecasting. The smart grid model comprehends traditional users as well as active users (prosumers). Through a rolling-horizon approach, prosumers participate in a DSM program, aiming at minimizing...journal article 2022
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Dolanyi, Mihaly (author), Bruninx, K. (author), Toubeau, Jean Francois (author), Delarue, Erik (author)This paper formulates an energy community's centralized optimal bidding and scheduling problem as a time-series scenario-driven stochastic optimization model, building on real-life measurement data. In the presented model, a surrogate battery storage system with uncertain state-of-charge (SoC) bounds approximates the portfolio's aggregated...journal article 2022
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Xiao, C. (author), Lin, H.X. (author), Leeuwenburgh, O. (author), Heemink, A.W. (author)History matching can play a key role in improving geological characterization and reducing the uncertainty of reservoir model predictions. Application of reservoir history matching is restricted by the huge computational cost by amongst others the many runs of the full model. Surrogate models with a reduced complexity are therefore used to...journal article 2022
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Hofman, Sam (author)This paper introduces a new two-stage stochastic optimisation approach for the strategic airline crew planning problem with uncertain demand. The developed model provides the airline with a cockpit crew composition plan per crew position before the flight schedule and crew demand are known. This is done by estimating future crew demand and by...master thesis 2021
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de Boer, Thies (author)With modern multi-function radars becoming more flexible, handling the limited amount of resources of these radars becomes increasingly important. In this thesis the radar resource management (RRM) problem in a multi-target tracking scenario is considered. Partially observable Markov decision processes (POMDPs) are used to describe each tracking...master thesis 2021
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Geursen, Izaak (author)Current state-of-the-art airline planning models are required to decrease models either in size or complexity due to computational limitations, limiting the <br/>operational applicability to problems of representative sizes. Models return suboptimal solutions, especially when confronted with factors of uncertainty. Considering the growing...master thesis 2021
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Deng, Q. (author), Santos, Bruno F. (author)This paper proposes a lookahead approximate dynamic programming methodology for aircraft maintenance check scheduling, considering the uncertainty of aircraft daily utilization and maintenance check elapsed time. It adopts a dynamic programming framework, using a hybrid lookahead scheduling policy. The hybrid lookahead scheduling policy makes...journal article 2021
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Hong, C. (author), Ghiassi, S. (author), Zhou, Yichi (author), Birke, Robert (author), Chen, Lydia Y. (author)Noisy labeled data is more a norm than a rarity for crowd sourced contents. It is effective to distill noise and infer correct labels through aggregating results from crowd workers. To ensure the time relevance and overcome slow responses of workers, online label aggregation is increasingly requested, calling for solutions that can...conference paper 2021
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Li, H. (author), Li, Zixuan (author), Li, Kenli (author), Rellermeyer, Jan S. (author), Chen, Lydia Y. (author), Li, Keqin (author)Sparse Tucker Decomposition (STD) algorithms learn a core tensor and a group of factor matrices to obtain an optimal low-rank representation feature for the High-Order, High-Dimension, and Sparse Tensor (HOHDST). However, existing STD algorithms face the problem of intermediate variables explosion which results from the fact that the...journal article 2021
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Andriotis, C. (author), Papakonstantinou, K. G. (author)Determination of inspection and maintenance policies for minimizing long-term risks and costs in deteriorating engineering environments constitutes a complex optimization problem. Major computational challenges include the (i) curse of dimensionality, due to exponential scaling of state/action set cardinalities with the number of components; ...journal article 2021
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Rostampour, Vahab (author), Keviczky, T. (author)This paper presents a distributed computational framework for stochastic convex optimization problems using the so-called scenario approach. Such a problem arises, for example, in a large-scale network of interconnected linear systems with local and common uncertainties. Due to the large number of required scenarios to approximate the...review 2021
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Scarabaggio, Paolo (author), Grammatico, S. (author), Carli, Raffaele (author), Dotoli, Mariagrazia (author)In this paper, we consider a smart grid where users behave selfishly, aiming at minimizing cost in the presence of uncertain wind power availability. We adopt a demand side management (DSM) model, where active users (so-called prosumers) have both private generation and local storage availability. These prosumers participate to the DSM...journal article 2021
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Lane, N.R. (author), van der Linden, J.G.M. (author), Morales-Espania, German (author), de Weerdt, M.M. (author)The power system is undergoing a significant change as it adapts to the intermittency and uncertainty from renewable generation. Flexibility from loads such as electric vehicles (EVs) can serve as reserves to sustain the supply-demand balance in the grid. Some reserve markets have rules for participation that are computationally challenging...journal article 2021
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Jovanovic, Nenad (author)The growing penetration of renewable energy sources in electricity systems requires adapting operation models to face the inherent variability and uncertainty of wind or solar generation. In addition, the volatility of fuel prices (such as natural gas) or the uncertainty of the hydraulic natural inflows requires to take into account all these...doctoral thesis 2019
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Amanda Castolina Lahiraja, Amanda (author)Developing renewable energy sources entails new challenges which have not been faced previously by the traditional grid. One of the issues is the variability of renewable resources due to their characteristics of weather. The intermittent nature produces uncertainty in generation output, especially in solar and wind power generation. As...master thesis 2019
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Deen, Gerrit (author)Wind Power Producers (WPP) incur a negative result through mandatory participation on the balancing market. This study analyzes the performance of multiple improved offering strategies for a WPP offering both on the day-ahead market and the balancing market. It does so on revenue, as well as its impact on the grid and electricity market as a...master thesis 2019
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Morales-Espana, G. (author), Lorca, Álvaro (author), de Weerdt, M.M. (author)The increasing penetration of uncertain generation such as wind and solar in power systems imposes new challenges to the unit commitment (UC) problem, one of the most critical tasks in power systems operations. The two most common approaches to address these challenges — stochastic and robust optimization — have drawbacks that restrict their...journal article 2018
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Tanaka, T. (author), Mohajerin Esfahani, P. (author), Mitter, S.K. (author)We consider a discrete-time Linear-QuadraticGaussian (LQG) control problem in which Massey’s directed information from the observed output of the plant to the control input is minimized while required control performance is attainable. This problem arises in several different contexts, including joint encoder and controller design for data-rate...journal article 2018
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