Application of Syntactic Pattern Recognition Methods for Electrical Load Forecasting-Reference-Cited by-同舟云学术

Application of Syntactic Pattern Recognition Methods for Electrical Load Forecasting

Published:2016 Issue: Volume: Page:599-607
ISSN:2194-5357
Container-title:Advances in Intelligent Systems and Computing
language:
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Author:

Flasiński Mariusz,Jurek Janusz,Peszek Tomasz

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-26227-7_56

Reference13 articles.

1. Alfares, H.K., Nazeeruddin, M.: Electric load forecasting: literature survey and classifcation of methods. Int. J. Syst. Sci. 33, 23–34 (2002)

2. Bunke, H.O., Sanfeliu, A. (eds.): Syntactic and Structural Pattern Recognition—Theory and Applications. World Scientific, Singapore (1990)

3. Flasiński, M., Jurek, J.: Dynamically programmed automata for quasi context sensitive languages as a tool for inference support in pattern recognition-based real-time control expert systems. Pattern Recognit. 32, 671–690 (1999)

4. Flasiński, M., Jurek, J.: On the analysis of fuzzy string patterns with the help of extended and stochastic GDPLL(k) grammars. Fundamenta Informaticae 71, 1–14 (2006) (IOS Press, Amsterdam)

5. Flasiński, M., Jurek, J.: Fundamental methodological issues of syntactic pattern recognition. Pattern Anal. Appl. 17, 465–480 (2014) (Springer, Berlin)

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