Searched for: subject%3A%22predict%255C%257Eplus%257Eoptimize%22
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van Steijn, Jeroen (author)
In this work, it is investigated whether the predict+optimize framework could be utilized for combinatorial optimization problems with a linear objective that have uncertainty in the constraint parameters, such that it outperforms prediction-error-based training. To this end, a predict+optimize formulation of the 0-1 knapsack problem is used,...
master thesis 2022
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Peled, Inon (author), Lee, Kelvin (author), Jiang, Yu (author), Dauwels, J.H.G. (author), Pereira, Francisco C. (author)
As Public Transport (PT) becomes more dynamic and demand-responsive, it increasingly depends on predictions of transport demand. But how accurate need such predictions be for effective PT operation? We address this question through an experimental case study of PT trips in Metropolitan Copenhagen, Denmark, which we conduct independently of any...
journal article 2021
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Bajracharya, G. (author), Koltunowicz, T. (author), Negenborn, R.R. (author), Papp, Z. (author), Djairam, D. (author), De Schutter, B. (author), Smit, J.J. (author)
In this paper, a model-predictive control based framework is proposed for modeling and optimization of the health state of power system equipment. In the framework, a predictive health model is proposed that predicts the health state of the equipment based on its usage and maintenance actions. Based on the health state, the failure rate of the...
conference paper 2009