@inproceedings{ea0c8a6bfcb5425ba4f7dadd40134301,
title = "Household electricity demand forecasting - Benchmarking state-of-the-art methods",
abstract = "We benchmark state-of-the-art methods for forecasting electricity demand on the household level. Our evaluation is based on two data sets containing the power usage on the individual appliance level. Our results indicate that without further refinement the considered advanced state-of-the-art forecasting methods rarely beat corresponding persistence forecasts. Therefore, we also provide an exploration of promising directions for future research.",
keywords = "load forecasting, smart grid, smart home",
author = "Andreas Veit and Christoph Goebel and Rohit Tidke and Christoph Doblander and Jacobsen, {Hans Arno}",
year = "2014",
doi = "10.1145/2602044.2602082",
language = "English",
isbn = "9781450328197",
series = "e-Energy 2014 - Proceedings of the 5th ACM International Conference on Future Energy Systems",
publisher = "Association for Computing Machinery",
pages = "233--234",
booktitle = "e-Energy 2014 - Proceedings of the 5th ACM International Conference on Future Energy Systems",
note = "5th ACM International Conference on Future Energy Systems, e-Energy 2014 ; Conference date: 11-06-2014 Through 13-06-2014",
}