Domestic Heat Demand Prediction Using Neural Networks

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 netwo...

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Bibliographic Details
Published in2008 19th International Conference on Systems Engineering pp. 189 - 194
Main Authors Bakker, V., Molderink, A., Hurink, J.L., Smit, G.J.M.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.08.2008
Subjects
Artificial neural networks
distributed generation
Electricity
Heating
Home appliances
neural networks
Neurons
Power generation
Resistance heating
short-term forecasting
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Summary: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.
ISBN:0769533310
9780769533315
DOI:10.1109/ICSEng.2008.51