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Bianchi, M. (author), Ananduta, W. (author), Grammatico, S. (author)
The distributed dual ascent is an established algorithm to solve strongly convex multi-agent optimization problems with separable cost functions, in the presence of coupling constraints. In this letter, we study its asynchronous counterpart. Specifically, we assume that each agent only relies on the outdated information received from some...
journal article 2022
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Estrella, Jorge (author), Wüthrich, D. (author), Chanson, Hubert (author)
A hydraulic jump is a region of rapidly-varied flow that is extremely turbulent. While the one-dimensional continuity and momentum principles have been successfully applied to express the relationships between upstream and downstream conditions, the three-dimensional equations cannot be resolved without some complicated turbulence closure,...
journal article 2022
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Akhtar, Syed Adnan (author), Sharifi K., Arman (author), Mohajerin Esfahani, P. (author)
We present a learning method to learn the mapping from an input space to an action space, which is particularly suitable when the action is an optimal decision with respect to a certain unknown cost function. We use an inverse optimization approach to retrieve the cost function by introducing a new loss function and a new hypothesis class of...
journal article 2022
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Liu, Di (author), Besselink, Bart (author), Baldi, S. (author), Yu, Wenwu (author), Trentelman, Harry L. (author)
Despite the progress in the field of longitudinal formations of automated vehicles, only recently an interpretation of longitudinal platooning has been given in the framework of disturbance decoupling, i.e. the problem of making a controlled output independent of a disturbance. The appealing feature of this interpretation is that the...
journal article 2022
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Bellizio, Federica (author), Cremer, Jochen (author), Strbac, Goran (author)
Machine learning has been used in the past to construct predictors, also known as classifiers, for dynamic security assessment. Although accurate classifiers can be trained for a single topology, often they do not work for another. However, the power system topology can change frequently during operation due to maintenance and control actions...
journal article 2022
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Shan, X. (author), van Gijzen, M.B. (author)
We study efficient implicit methods to denoise low-field MR images using a nonlinear diffusion operator as a regularizer. This problem can be formulated as solving a nonlinear reaction–diffusion equation. After discretization, a lagged-diffusion approach is used which requires a linear system solve in every nonlinear iteration. The choice of...
journal article 2022
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Guo, Feng (author), Cheng, Gang (author), Pang, Y. (author)
Aiming at a 5-DOF hybrid optical mirror polishing robot, the explicit dynamic model considering the joint friction is established and the inertia coupling distribution is studied. Firstly, the kinematics of the manipulator is solved based on closed-loop vector method, and the dynamic model is established with Newton-Euler method based on the...
journal article 2022
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Nazeer, A. (author), Maskey, Shreedhar (author), Skaugen, Thomas (author), McClain, M.E. (author)
In many high altitude river basins, the hydro-climatic regimes and the spatial and temporal distribution of precipitation are little known, complicating efforts to quantify current and future water availability. Scarce, or non-existent, gauged observations at high altitudes coupled with complex weather systems and orographic effects further...
journal article 2022
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van Linden, N. (author), Spanjers, H. (author), van Lier, J.B. (author)
Gaseous ammonia (NH3) recovered from residual waters may be used as a fuel in solid oxide fuel cells (SOFCs) to generate electricity without emission of undesirable oxidised nitrogen species. NH3 can be directly recovered from water as a gas by vacuum membrane stripping (VMS), which also results in the evaporation of water (H2O), leading to the...
journal article 2022
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Melliger, Marc (author), Chappin, E.J.L. (author)
Support schemes have been central to the expansion of renewable electricity globally and in the European Union. As technologies mature, individual member states may decide to phase out these policies. While previous research has shown that such policy changes affect investors’ decisions, we investigate how they affect pathways and electricity...
journal article 2022
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Liang, M. (author), Chang, Z. (author), Wan, Z. (author), Gan, Y. (author), Schlangen, E. (author), Šavija, B. (author)
This study aims to provide an efficient and accurate machine learning (ML) approach for predicting the creep behavior of concrete. Three ensemble machine learning (EML) models are selected in this study: Random Forest (RF), Extreme Gradient Boosting Machine (XGBoost) and Light Gradient Boosting Machine (LGBM). Firstly, the creep data in...
journal article 2022
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Yao, Yu (author), Huang, Yunkai (author), Peng, Fei (author), Dong, J. (author)
This article proposes a sliding-mode position estimation method for high-speed surface-mounted permanent magnet synchronous machines with LCL filter. The implementation of the LCL filter aims at smoothing the motor current and reducing the iron loss caused by the harmonic currents. First, the discrete-time model of the LCL-filtered motor...
journal article 2022
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Vergara Barrios, P.P. (author), Salazar, Mauricio (author), Giraldo, Juan S. (author), Palensky, P. (author)
In this paper, a Reinforcement Learning (RL)-based approach to optimally dispatch PV inverters in unbalanced distribution systems is presented. The proposed approach exploits a decentralized architecture in which PV inverters are operated by agents that perform all computational processes locally; while communicating with a central agent to...
journal article 2022
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Huber, Katharina T. (author), van Iersel, L.J.J. (author), Janssen, R. (author), Jones, M.E.L. (author), Moulton, Vincent (author), Murakami, Yukihiro (author)
Recently it was shown that a certain class of phylogenetic networks, called level-2 networks, cannot be reconstructed from their associated distance matrices. In this paper, we show that they can be reconstructed from their induced shortest and longest distance matrices. That is, if two level-2 networks induce the same shortest and longest...
journal article 2022
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Miao, Xuefei (author), Gong, Yong (author), Zhang, Fengqi (author), You, Yurong (author), Caron, Luana (author), Qian, Fengjiao (author), Xu, Feng (author), van Dijk, N.H. (author), Brück, E.H. (author)
Magnetocaloric materials undergoing reversible phase transitions are highly desirable for magnetic refrigeration applications. (Mn,Fe)<sub>2</sub>(P,Si) alloys exhibit a giant magnetocaloric effect accompanied by a magnetoelastic transition, while the noticeable irreversibility causes drastic degradation of the magnetocaloric properties...
journal article 2022
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Rey, Juan M. (author), Jiménez-Vargas, Iván (author), Vergara Barrios, P.P. (author), Osma-Pinto, Germán (author), Solano, Javier (author)
Autonomous microgrids are a suitable solution for off-grid electrification in terms of costs and reliability. The correct sizing of its generation and storage systems ensures efficient utilization of the available energy resources. Generally, many sizing approaches assume optimized energy management strategies that rely on central control...
journal article 2022
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Chen, Cong (author), Batselier, K. (author), Yu, Wenjian (author), Wong, Ngai (author)
Tensor, a multi-dimensional data structure, has been exploited recently in the machine learning community. Traditional machine learning approaches are vector- or matrix-based, and cannot handle tensorial data directly. In this paper, we propose a tensor train (TT)-based kernel technique for the first time, and apply it to the conventional...
journal article 2022
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Lombardi, F. (author), Rocco, Matteo Vincenzo (author), Belussi, Lorenzo (author), Danza, Ludovico (author), Magni, Chiara (author), Colombo, Emanuela (author)
The decarbonisation of residential heat through integration with the power system and deployment of refurbishment policies is at the core of European energy policies. Yet, heat-electricity integration may be challenged, in practice, by the large variability of heat demand across weather years. Current approaches for residential heat demand...
journal article 2022
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Hou, Jue (author), Liu, Zhou (author), Wang, Shaorong (author), Chen, Zhe (author), Xie, Wei (author), Fang, Cheng (author), Wei, Xinchi (author), Popov, M. (author)
Supplementary control (SC) technology is widely leveraged by power supply companies in active distribution networks (ADNs) to improve their stability and dynamic characteristics. Yet, the existed SCs are generally implemented from inside the converter controllers of distributed generators (DGs) or active loads, so there is a need to redesign...
journal article 2022
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Lin, Dong Qiang (author), Broere, W. (author), Cui, Jianqiang (author)
In the urbanisation process of the past few decades, the use of urban underground space (UUS) has contributed to new town developments in many cities in the world. This offers an opportunity to map out and systematically describe the potential contributions of UUS for transport, land use, economic, environmental and social development in new...
journal article 2022
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