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Ananduta, Wicak (author), Pippia, T.M. (author), Ocampo-Martinez, Carlos (author), Sijs, J. (author), De Schutter, B.H.K. (author)A novel partitioning approach for linear switching large-scale systems is presented. We assume that the modes of the switching system are unknown a priori but can be detected. We propose an online partitioning scheme that can partition the system when the mode switches, thus adapting the partition to the mode. Moreover, after the system has...journal article 2019
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Lago, Jesus (author), De Ridder, Fjo (author), Mazairac, Wiet (author), De Schutter, B.H.K. (author)To mitigate the effects of the intermittent generation of renewable energy sources, reliable and efficient energy storage is critical. Since nearly 80% of households energy consumption is destined to water and space heating, thermal energy storage is particularly important. In this context, we propose and validate a new model for one of the...journal article 2019
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Su, Z. (author), Jamshidi, A. (author), Nunez, Alfredo (author), Baldi, S. (author), De Schutter, B.H.K. (author)We develop a multi-level decision making approach for optimal condition-based maintenance planning of a railway network divided into a large number of sections with independent stochastic deterioration dynamics. At higher level, a chance-constrained Model Predictive Control (MPC) controller determines the long-term section-wise maintenance...journal article 2019
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de Gelder, E. (author), Paardekooper, Jan Pieter (author), Op den Camp, Olaf (author), De Schutter, B.H.K. (author)Objective: The amount of collected field data from naturalistic driving studies is quickly increasing. The data are used for, among others, developing automated driving technologies (such as crash avoidance systems), studying driver interaction with such technologies, and gaining insights into the variety of scenarios in real-world traffic....journal article 2019
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Pippia, T.M. (author), Sijs, J. (author), De Schutter, B.H.K. (author)A single-level rule-based model predictive control (RBMPC) scheme is presented for optimizing the energy management of a grid-connected microgrid composed of local production units, renewable energy sources, local loads, and several types of energy storage systems (ESSs). The single-level controller uses two different models that yield different...journal article 2019
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Building day-ahead bidding functions for seasonal storage systems: A reinforcement learning approachLago, Jesus (author), Sogancioglu, Ecem (author), Suryanarayana, Gowri (author), Ridder, Fjo De (author), De Schutter, B.H.K. (author)Due to the increasing integration of renewable sources in the electrical grid, electricity generation is expected to become more uncertain. In this context, seasonal thermal energy storage systems (STESSs) are key to shift the delivery of renewable energy sources and tackle their uncertainty problems. In this paper, we propose an optimal...journal article 2019
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Picallo, Miguel (author), Anta, Adolfo (author), De Schutter, B.H.K. (author)The lack of measurements in distribution grids poses a severe challenge for their monitoring: Since there may not be enough sensors to achieve numerical observability, so load forecasts (pseudo-measurements) are typically used, and thus an accurate state estimation is not guaranteed. However, estimation is required to control distribution...journal article 2019
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Su, Z. (author), Jamshidi, A. (author), Nunez, Alfredo (author), Baldi, S. (author), De Schutter, B.H.K. (author)We develop a Model Predictive Control (MPC) approach for condition-based maintenance planning under uncertainty for railway infrastructure systems composed of multiple components. Piecewise-affine models with uncertain parameters are used to capture both the nonlinearity and uncertainties in the deterioration process. To keep a balance...book chapter 2019
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Dominguez Frejo, J.R. (author), De Schutter, B.H.K. (author)The main goal of this paper is the proposal and simulation of a SPEed limit controller for Recurrent Traffic jams (SPERT) that approximates the behavior of an optimal controller when congestion profiles are similar to the typical one. In order to achieve this goal, the optimal solution for the typical demand profile is computed and used as a...conference paper 2018
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Yuan, S. (author), De Schutter, B.H.K. (author), Baldi, S. (author)In this paper, robust adaptive tracking control schemes for uncertain switched linear systems subject to disturbances are investigated. The robust adaptive control problem requires the design of both adaptive and switching laws. A novel adaptive law is proposed based on an extended leakage approach, which does not require knowledge of the bounds...journal article 2018
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Luan, X. (author), Wang, Y. (author), De Schutter, B.H.K. (author), Meng, Lingyun (author), Lodewijks, G. (author), Corman, F. (author)We study the integration of real-time traffic management and train control by using mixed-integer nonlinear programming (MINLP) and mixed-integer linear programming (MILP) approaches. In Part 1 of the paper (Luan et al., 2018), three integrated optimization problems, namely the P<sub>NLP</sub> problem (NLP: nonlinear programming), the P<sub...journal article 2018
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Jamshidi, A. (author), Hajizadeh, S. (author), Su, Z. (author), Naeimi, M. (author), Nunez, Alfredo (author), Dollevoet, R.P.B.J. (author), De Schutter, B.H.K. (author), Li, Z. (author)In this paper, a decision support approach is proposed for condition-based maintenance of rails relying on expert-based systems. The methodology takes into account both the actual conditions of the rails (using axle box acceleration measurements and rail video images) and the prior knowledge of the railway track. The approach provides an...journal article 2018
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Lago, Jesus (author), De Brabandere, Karel (author), De Ridder, Fjo (author), De Schutter, B.H.K. (author)Due to the increasing integration of solar power into the electrical grid, forecasting short-term solar irradiance has become key for many applications, e.g. operational planning, power purchases, reserve activation, etc. In this context, as solar generators are geographically dispersed and ground measurements are not always easy to obtain,...journal article 2018
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Luan, X. (author), Wang, Y. (author), De Schutter, B.H.K. (author), Meng, Lingyun (author), Lodewijks, G. (author), Corman, F. (author)We study the integration of real-time traffic management and train control by using mixed-integer nonlinear programming (MINLP) and mixed-integer linear programming (MILP) approaches. Three innovative integrated optimization approaches for real-time traffic management that inherently include train control are developed to deliver both a train...journal article 2018
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Siniscalchi-Minna, S. (author), De-Prada-Gil, M. (author), Bianchi, F. D. (author), Ocampo-Martinez, C. (author), De Schutter, B.H.K. (author)Nowadays, wind power plants (WPPs) should be able to dynamically change their power output to meet the power demanded by the transmission system operators. When the wind power generation exceeds the power demand, the WPP works in de-loading operation keeping some power reserve to be delivered into the grid to balance the frequency drop. This...conference paper 2018
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Picallocruz, M. (author), Anta, Adolfo (author), De Schutter, B.H.K. (author), Panosyan, Ara (author)In this paper we consider the problem of State Estimation (SE) in large-scale, 3-phase coupled, unbalanced distribution systems. More specifically, we address the problem of including mixed real-time measurements, synchronized and unsynchronized, from phasor measurement units and smart meters, into existing SE solutions. We propose a...conference paper 2018
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Faris, Muhammad (author), Nunez, Alfredo (author), Su, Z. (author), De Schutter, B.H.K. (author)In this paper, distributed optimization approaches are developed for the planning of maintenance operations of large-scale railway infrastructure formulated as a Mixed-Integer Linear Programming (MILP) problem. The proposed planning problem is solved using three different distributed optimization schemes: Parallel Augmented Lagrangian...conference paper 2018
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Lago, Jesus (author), De Brabandere, Karel (author), De Ridder, Fjo (author), De Schutter, B.H.K. (author)In recent years, as the share of solar power in the electrical grid has been increasing, accurate methods for forecasting solar irradiance have become necessary to manage the electrical grid. More specifically, as solar generators are geographically dispersed, it is very important to have general models that can predict solar irradiance without...conference paper 2018
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Lago, Jesus (author), De Ridder, Fjo (author), De Schutter, B.H.K. (author)In this paper, a novel modeling framework for forecasting electricity prices is proposed. While many predictive models have been already proposed to perform this task, the area of deep learning algorithms remains yet unexplored. To fill this scientific gap, we propose four different deep learning models for predicting electricity prices and...journal article 2018
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Forecasting day-ahead electricity prices in Europe: The importance of considering market integrationLago, Jesus (author), De Ridder, Fjo (author), Vrancx, Peter (author), De Schutter, B.H.K. (author)Motivated by the increasing integration among electricity markets, in this paper we propose two different methods to incorporate market integration in electricity price forecasting and to improve the predictive performance. First, we propose a deep neural network that considers features from connected markets to improve the predictive...journal article 2018