TY - GEN
T1 - Smart-grid electricity allocation via strip packing with slicing
AU - Alamdari, Soroush
AU - Biedl, Therese
AU - Chan, Timothy M.
AU - Grant, Elyot
AU - Jampani, Krishnam Raju
AU - Keshav, Srinivasan
AU - Lubiw, Anna
AU - Pathak, Vinayak
PY - 2013
Y1 - 2013
N2 - 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 5/3 times the optimal height.
AB - 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 5/3 times the optimal height.
UR - https://www.scopus.com/pages/publications/84881142425
UR - https://www.scopus.com/pages/publications/84881142425#tab=citedBy
U2 - 10.1007/978-3-642-40104-6_3
DO - 10.1007/978-3-642-40104-6_3
M3 - Conference contribution
AN - SCOPUS:84881142425
SN - 9783642401039
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 25
EP - 36
BT - Algorithms and Data Structures - 13th International Symposium, WADS 2013, Proceedings
T2 - 13th International Symposium on Algorithms and Data Structures, WADS 2013
Y2 - 12 August 2013 through 14 August 2013
ER -