Abstract
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. © 2014 Springer-Verlag.
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CITATION STYLE
Flasiński, M., Jurek, J., & Peszek, T. (2014). Parallel processing model for syntactic pattern recognition-based electrical load forecast. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8384 LNCS, pp. 338–347). Springer Verlag. https://doi.org/10.1007/978-3-642-55224-3_32
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