Searched for: subject%3A%22process%22
(1 - 13 of 13)
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Stepanovic, K. (author), Wu, J. (author), Everhardt, Rob (author), de Weerdt, M.M. (author)
The integration of pipeline energy storage in the control of a district heating system can lead to profit gain, for example by adjusting the electricity production of a combined heat and power (CHP) unit to the fluctuating electricity price. The uncertainty from the environment, the computational complexity of an accurate model, and the scarcity...
journal article 2022
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Stepanovic, K. (author), Wu, J. (author), Everhardt, Rob (author), de Weerdt, M.M. (author)
abstract 2022
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Moerland, T.M. (author)
Intelligent sequential decision making is a key challenge in artificial intelligence. The problem, commonly formalized as a Markov Decision Process, is studied in two different research communities: planning and reinforcement learning. Departing from a fundamentally different assumption about the type of access to the environment, both research...
doctoral thesis 2021
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van den Boomen, M. (author)
Ageing infrastructures and shortage of financing induce the need for optimising public infrastructure replacements. From an economic perspective, classical net present value comparison is traditionally the method of choice to decide on investments and replacements. The current research observes that typical infrastructure related features make...
doctoral thesis 2020
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Abdelghany, H.A.M.F. (author), Tindemans, Simon H. (author), de Weerdt, M.M. (author), la Poutré, J.A. (author)
Increased uptake of variable renewable generation and further electrification of energy demand necessitate efficient coordination of flexible demand resources to make most efficient use of power system assets. Flexible electrical loads are typically small, numerous, heterogeneous and owned by self-interested agents. Considering the multi...
journal article 2020
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Kana, A.A. (author)
journal article 2017
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Kana, A.A. (author), Harrison, B.M. (author)
A Monte Carlo approach to the ship-centric Markov decision process (SC-MDP) is presented for analyzing whether a container ship should convert to LNG power in the face of evolving Emission Control Area regulations. The SC-MDP model was originally developed as a means to analyze uncertain, sequential decision making problems. However, the...
journal article 2017
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Kana, A.A. (author)
conference paper 2016
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Kana, A.A. (author)
conference paper 2016
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Kana, A.A. (author)
conference paper 2016
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Kana, A.A. (author), Brefort, D.C. (author), Seyffert, H.C. (author), Singer, D.J. (author)
This paper introduces a novel decision-making framework for planning lifecycle compliance of ballast water treatment by applying eigenvalue spectral analysis<br/>to the ship-centric Markov decision process (SC-MDP) framework. This method focuses on identifying the relationships of various decision making scenarios, and how those relationships...
conference paper 2016
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Kana, A.A. (author), Singer, D.J. (author)
This paper introduces a means of performing a ship egress analysis by applying eigenvalue analysis to the ship-centric Markov decision process (SC-MDP) framework. This method focuses on how people egress, the decisions they make under uncertainty, and the interaction between the individuals and the layout of the vessel. The objective is to...
conference paper 2016
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Negenborn, R.R. (author), De Schutter, B. (author), Wiering, M.A. (author), Hellendoorn, J. (author)
Model predictive control (MPC) is becoming an increasingly popular method to select actions for controlling dynamic systems. TraditionallyMPC uses a model of the system to be controlled and a performance function to characterize the desired behavior of the system. The MPC agent finds actions over a finite horizon that lead the system into a...
conference paper 2004
Searched for: subject%3A%22process%22
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