@inproceedings{88693c1573cf4e40ba0c6191e1aa815b,
title = "Cascaded column generation for scalable predictive demand side management",
abstract = "We propose a nested Dantzig-Wolfe decomposition, combined with dynamic programming, for the distributed scheduling of a large heterogeneous fleet of residential appliances with nonlinear behavior. A cascaded column generation approach gives a scalable optimization strategy, provided that the problem has a suitable structure. The presented approach extends the TRIANA smart grid framework for predictive demand side management; the main goal of this framework is peak shaving. Simulations validate that the approach is effective, but also show that the performance degrades for smaller group sizes.",
keywords = "Smart Grids, Power system management, Optimization, EWI-24897, Home appliances, Energy management, METIS-305939, Vectors, Electricity, IR-91537, Context, Mathematical Programming, Equations",
author = "Hermen Toersche and Albert Molderink and Hurink, {Johann L.} and Smit, {Gerardus Johannes Maria}",
note = "10.1109/ENERGYCON.2014.6850580 ; null ; Conference date: 13-05-2014 Through 16-05-2014",
year = "2014",
month = may,
day = "16",
doi = "10.1109/ENERGYCON.2014.6850580",
language = "Undefined",
isbn = "978-1-4799-2449-3",
publisher = "IEEE Power & Energy Society",
pages = "1228--1235",
booktitle = "Proceedings of the 2014 IEEE International Energy Conference (ENERGYCON)",
}