@inproceedings{61df3f54baca4b20946ecf5ef42a9f4a,
title = "Domestic Heat Demand Prediction using Neural Networks",
abstract = "By combining a cluster of microCHP appliances, a virtual power plant can be formed. To use such a virtual power plant, a good heat demand prediction of individual households is needed since the heat demand determines the production capacity. In this paper we present the results of using neural networks techniques to predict the heat demand of individual households. This prediction is required to determine the electricity production capacity of the large fleet of microCHP appliances. All predictions are short-term for one day) and use historical heat demand and weather influences as input.",
keywords = "EWI-13435, METIS-251181, IR-64981",
author = "Vincent Bakker and Albert Molderink and Hurink, {Johann L.} and Smit, {Gerardus Johannes Maria}",
note = "10.1109/ICSEng.2008.51 ; null ; Conference date: 19-08-2008 Through 21-08-2008",
year = "2008",
month = aug,
day = "19",
doi = "10.1109/ICSEng.2008.51",
language = "Undefined",
isbn = "978-0-7695-3331-5",
publisher = "IEEE Computer Society",
number = "Supplement",
pages = "189--194",
booktitle = "Proceedings of Nineteenth International Conference on Systems Engineering",
address = "United States",
}