Zobrazeno 1 - 10
of 8 562
pro vyhledávání: '"Jones, A. N."'
Bayesian optimisation for real-world problems is often performed interactively with human experts, and integrating their domain knowledge is key to accelerate the optimisation process. We consider a setup where experts provide advice on the next quer
Externí odkaz:
http://arxiv.org/abs/2410.10452
This paper presents experiments for embedded cooperative distributed model predictive control applied to a team of hovercraft floating on an air hockey table. The hovercraft collectively solve a centralized optimal control problem in each sampling st
Externí odkaz:
http://arxiv.org/abs/2409.13334
We present the identification of the non-linear dynamics of a novel hovercraft design, employing end-to-end deep learning techniques. Our experimental setup consists of a hovercraft propelled by racing drone propellers mounted on a lightweight foam b
Externí odkaz:
http://arxiv.org/abs/2405.09405
The demand-side control of district heating networks is notoriously challenging due to the large number of connected users and the high number of states to be considered. To overcome these challenges, this paper presents a hierarchical optimization s
Externí odkaz:
http://arxiv.org/abs/2404.08107
Autor:
Bussi, Giovanni, Bonomi, Massimiliano, Gkeka, Paraskevi, Sattler, Michael, Al-Hashimi, Hashim M., Auffinger, Pascal, Duca, Maria, Foricher, Yann, Incarnato, Danny, Jones, Alisha N., Kirmizialtin, Serdal, Krepl, Miroslav, Orozco, Modesto, Palermo, Giulia, Pasquali, Samuela, Salmon, Loïc, Schwalbe, Harald, Westhof, Eric, Zacharias, Martin
Publikováno v:
Structure 32, 1281 (2024)
Ribonucleic acids (RNA) are unique in that they can store genetic information, replicate and perform catalysis. Importantly, RNA molecules are highly dynamic, and thus determining the ensemble of conformations that they populate is crucial not only t
Externí odkaz:
http://arxiv.org/abs/2404.02789
We study the problem of preferential Bayesian optimization (BO), where we aim to optimize a black-box function with only preference feedback over a pair of candidate solutions. Inspired by the likelihood ratio idea, we construct a confidence set of t
Externí odkaz:
http://arxiv.org/abs/2402.05367
Autor:
Dai, Xinliang, Kocher, Alexander, Kovačević, Jovana, Dindar, Burak, Jiang, Yuning, Jones, Colin N., Çakmak, Hüseyin, Hagenmeyer, Veit
During the energy transition, the significance of collaborative management among institutions is rising, confronting challenges posed by data privacy concerns. Prevailing research on distributed approaches, as an alternative to centralized management
Externí odkaz:
http://arxiv.org/abs/2402.01001
This paper proposes a real-time distributed operational architecture to efficiently coordinate intergrated transmission and distribution systems (ITD). At the distribution system level, the distribution system operator (DSO) computes the aggregated f
Externí odkaz:
http://arxiv.org/abs/2402.00508
Autor:
Di Natale, Loris, Zakwan, Muhammad, Heer, Philipp, Ferrari-Trecate, Giancarlo, Jones, Colin N.
This manuscript details and extends the SIMBa toolbox (System Identification Methods leveraging Backpropagation) presented in previous work, which uses well-established Machine Learning tools for discrete-time linear multi-step-ahead state-space Syst
Externí odkaz:
http://arxiv.org/abs/2311.13889
Autor:
Scharnhorst, Paul, Schubnel, Baptiste, Carrillo, Rafael E., Alet, Pierre-Jean, Jones, Colin N.
Publikováno v:
Sustainable Energy, Grids and Networks Volume 39 Sustainable Energy, Grids and Networks, Volume 39, September 2024, 101512
Residential and commercial buildings, equipped with systems such as heat pumps (HPs), hot water tanks, or stationary energy storage, have a large potential to offer their consumption flexibility as grid services. In this work, we leverage this flexib
Externí odkaz:
http://arxiv.org/abs/2311.05402