Chapter

Computer Recognition Systems

Volume 30 of the series Advances in Soft Computing pp 851-858

On the Use of Syntactic Pattern Recognition Methods, Neural Networks, and Fuzzy Systems for Short-Term Electrical Load Forecasting

  • Janusz JurekAffiliated withInstitute of Computer Science, Jagiellonian University
  • , Tomasz PeszekAffiliated withInstitute of Computer Science, Jagiellonian University

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Abstract

Several artificial intelligence methods of short-term electrical load forecasting are discussed in the paper. The model of a hybrid system based on syntactic pattern recognition, neural networks, and fuzzy techniques is introduced. The application of the model and the experimental results of short-term electrical load forecasting are presented.