Publication detail

Energy Time Series, Fuzzy Logic Prediction

ŽÁK, L.

Czech title

Časové řady v energetice, předpověď pomocí fuzzy logiky

English title

Energy Time Series, Fuzzy Logic Prediction

Type

conference paper

Language

en

Original abstract

The article describes the design of the calculation method of heat supply diagram prediction by means of fuzzy logic. Other methods such as Box-Jenkins methodology and the use of artificial neural networks are mentioned here for the purpose of comparing their prediction abilities in energy time series. The use of fuzzy logic seems very successful in the prediction of energy time series..

Czech abstract

Článek se zabývá návrhem výpočetní metody predikce denního diagramu dodávky tepla za pomoci fuzzy logiky. Ostatní metody, jako je např. Box-Jenkinsova metodologie a použití umělých neuronových sítí jsou zmíněny za účelem porovnání schopností predikce časových řad v energetice. Použití fuzzy logiky se jeví velmi úspěšnou pro predikci časových řad v energetice. Chyba predikce MAPE ukazuje na kvalitní predikci u obou testovaných případů.

English abstract

The article describes the design of the calculation method of heat supply diagram prediction by means of fuzzy logic. Other methods such as Box-Jenkins methodology and the use of artificial neural networks are mentioned here for the purpose of comparing their prediction abilities in energy time series. The use of fuzzy logic seems very successful in the prediction of energy time series..

Keywords in English

Time series, energetics, prediction, fuzzy logic, fuzzy regulator

RIV year

2003

Released

04.06.2003

Publisher

FSI VUT Brno

Location

Brno

ISBN

80-214-2411-7

Book

Mendel 2003, 9th International Conference on Soft Computing

Pages from–to

206–211

Pages count

5

BIBTEX


@inproceedings{BUT10863,
  author="Libor {Žák},
  title="Energy Time Series, Fuzzy Logic Prediction",
  booktitle="Mendel 2003, 9th International Conference on Soft Computing",
  year="2003",
  month="June",
  pages="206--211",
  publisher="FSI VUT Brno",
  address="Brno",
  isbn="80-214-2411-7"
}