Ensemble-Based Model Selection for Smart Metering Data

Created by W.Langdon from gp-bibliography.bib Revision:1.7630

@InProceedings{Friese:2012:dortmund,

• author = "Martina Friese and Oliver Flasch and Katya Vladislavleva and Thomas Bartz-Beielstein and Olaf Mersmann and Boris Naujoks and Joerg Stork and Martin Zaefferer",
• title = "Ensemble-Based Model Selection for Smart Metering Data",
• booktitle = "Proceedings of the 22nd Workshop on Computational Intelligence",
• year = "2012",
• editor = "Eyke Huellermeier",
• number = "22",
• series = "Schriftenreihe des Instituts fuer Angewandte Informatik - Automatisierungstechnik, Karlsruher Institut fur Technologie",
• pages = "215--227",
• address = "Dortmund, Germany",
• publisher_address = "Germany",
• month = "6-7 " # dec,
• publisher = "KIT Scientific Publishing",
• keywords = "genetic algorithms, genetic programming, Data Modeler",
• isbn13 = "978-3-86644-917-6",
• ISSN = "1614-5267",
• URL = "http://www.buchoffizin.de/produkt/9783866449176.html",
• URL = "https://publikationen.bibliothek.kit.edu/1000029917/2355761",
• URL = "https://publikationen.bibliothek.kit.edu/1000029917",
• DOI = "doi:10.5445/KSP/1000029917",
• size = "13 pages",
• abstract = "Introduction. In times of accelerating climate change and rising energy costs, increasingenergy efficiency becomes a high-priority goal for business and private households alike. Smart metering equipment records energy consumptiondata in regular intervals multiple times per hour, streaming this data to a central system, usually located at a local public utility company. Here, consumption data can be correlated and analysed to detect anomalies such as unusual high consumption...",
• notes = "Sonstiger Urheber F. Hoffmann URN: urn:nbn:de:0072-299175 KITopen ID: 1000029917 fh-koeln.de cited by \cite{journals/grid/VeeramachaneniA15}",

}

Genetic Programming entries for Martina Friese Oliver Flasch Ekaterina (Katya) Vladislavleva Thomas Bartz-Beielstein Olaf Mersmann Boris Naujoks Joerg Stork Martin Zaefferer

Citations