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Smart-grid electricity allocation via strip packing with slicing. (English) Zbl 1391.90501

Dehne, Frank (ed.) et al., Algorithms and data structures. 13th international symposium, WADS 2013, London, ON, Canada, August 12–14, 2013. Proceedings. Berlin: Springer (ISBN 978-3-642-40103-9/pbk). Lecture Notes in Computer Science 8037, 25-36 (2013).
Summary: One advantage of smart grids is that they can reduce the peak load by distributing electricity-demands over multiple short intervals. Finding a schedule that minimizes the peak load corresponds to a variant of a strip packing problem. Normally, for strip packing problems, a given set of axis-aligned rectangles must be packed into a fixed-width strip, and the goal is to minimize the height of the strip. The electricity-allocation application can be modelled as strip packing with slicing: each rectangle may be cut vertically into multiple slices and the slices may be packed into the strip as individual pieces. The stacking constraint forbids solutions in which a vertical line intersects two slices of the same rectangle.
We give a fully polynomial time approximation scheme for this problem, as well as a practical polynomial time algorithm that slices each rectangle at most once and yields a solution of height at most \(\frac53\) times the optimal height.
For the entire collection see [Zbl 1268.68013].

MSC:

90C27 Combinatorial optimization
68W25 Approximation algorithms
90C59 Approximation methods and heuristics in mathematical programming
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