Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: A Robust Mixed Integer Optimization Model to Utilize Regenerative Energy
  of Trains in a Railway Network   In this paper we present a robust mixed integer optimization model to utilize
regenerative braking energy produced by trains in a railway network. An
electric train produces regenerative energy during braking, which is often lost
in present technology. To utilize this energy we calculate a timetable which
maximizes the total overlapping time between the braking and accelerating
phases of suitable train pairs, so that the regenerative energy of a braking
train can be transferred to a suitable accelerating one. We apply our
optimization model to different instances of a railway network for a time
horizon spanning six hours. For each instance, our model finds an optimal
timetable very quickly (largest running time being 86.64 seconds). Compared to
the existing timetables, we observe significant increase in utilization of
regenerative energy for every instance.

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The categories of this paper are: nucl-ex
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The categories of this paper are: ao-sci
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The categories of this paper are: alg-geom
4
The categories of this paper are: cond-mat
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The categories of this paper are: atom-ph
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The categories of this paper are: quant-ph
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The categories of this paper are: q-bio
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The categories of this paper are: stat
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The categories of this paper are: bayes-an
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The categories of this paper are: nucl-th
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The categories of this paper are: dg-ga
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The categories of this paper are: q-alg
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The categories of this paper are: eess
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The categories of this paper are: gr-qc
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The categories of this paper are: adap-org
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The categories of this paper are: econ