Short-term load forecasting using a chaotic time series
- 22 March 2004
- conference paper
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE) in SCS 2003. International Symposium on Signals, Circuits and Systems. Proceedings (Cat. No.03EX720)
- Vol. 2, 437-440 vol.2
- https://doi.org/10.1109/scs.2003.1227083
Abstract
A new approach to short-term load forecasting (STLF) in power systems is described in this paper. The method uses a chaotic time series and artificial neural network. The paper describes chaos time series analysis of daily power system peak loads. Nonlinear mapping of deterministic chaos is identified by multilayer perceptron (MLP). Using embedding dimension and delay time, an attractor in pseudo phase plane and an ANN model trained by this attractor are constructed. The proposed approach is demonstrated by an example.Keywords
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