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.
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