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Bakker, V. and Molderink, A. and Hurink, J.L. and Smit, G.J.M.
(2008)
Domestic Heat Demand Prediction using Neural Networks.
In: Proceedings of Nineteenth International Conference on Systems Engineering, 19-21 August 2008, Las Vegas, Nevada, USA.
pp. 189-194.
IEEE Computer Society.
ISBN 978-0-7695-3331-5
Full text available as:
Official URL: http://dx.doi.org/10.1109/ICSEng.2008.51  AbstractBy 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.
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