Parallel processing model for syntactic pattern recognition-based electrical load forecast

A model of a recognition of distorted/fuzzy patterns for a electrical load forecast is presented in the paper. The model is based on a syntactic pattern recognition approach. Since a system implemented on the basis of the model is to perform in a real-time mode, it is parallelized. An architecture for parallel processing and a method of tasks distribution is proposed. First experimental results are also provided and discussed