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Short-term load forecasting based on correlation dimension estimation and neural nets

  • Part VII: Predictions, Forecasting, and Monitoring
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Artificial Neural Networks — ICANN'97 (ICANN 1997)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1327))

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Abstract

In this paper we present the application of techniques for Correlation Dimension Estimation to estimate the model order of electrical load data. Based on a correct model order, appropriately structured neural nets for load forecasting were designed. Satisfactory results were obtained in one-hour-ahead electrical load prediction on a six months benchmark from an electric utility in the USA.

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Wulfram Gerstner Alain Germond Martin Hasler Jean-Daniel Nicoud

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© 1997 Springer-Verlag Berlin Heidelberg

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Camastra, F., Colla, A.M. (1997). Short-term load forecasting based on correlation dimension estimation and neural nets. In: Gerstner, W., Germond, A., Hasler, M., Nicoud, JD. (eds) Artificial Neural Networks — ICANN'97. ICANN 1997. Lecture Notes in Computer Science, vol 1327. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0020289

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  • DOI: https://doi.org/10.1007/BFb0020289

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-63631-1

  • Online ISBN: 978-3-540-69620-9

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