- Tytuł:
- Fuzzy inference system and prediction
- Autorzy:
-
Žák, L.
Valliš, D. - Powiązania:
- https://bibliotekanauki.pl/articles/1818737.pdf
- Data publikacji:
- 2015
- Wydawca:
- Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
- Tematy:
-
fuzzy sets
fuzzy logic
fuzzy inference system
prediction implementation
employees
zbiory rozmyte
logika rozmyta
system wnioskowania rozmyty
pracownicy - Opis:
- This paper describes the implementation of fuzzy set theory and Fuzzy Inference System (FIS) for prediction of electric load. The proposed technique utilizes fuzzy rules to incorporate historical weather and load data. The use of fuzzy logic effectively handles the load variations due to special events. The fuzzy logic has been extensively tested on actual data obtained from the Czech Electric Power Company (ˇCEZ) for 24-hour ahead prediction. Test results indicate that the fuzzy rule base can produce results better in accuracy than artificial neural networks (ANNs) method.
- Źródło:
-
Journal of TransLogistics; 2015, 1, 1; 193--202
2450-5870 - Pojawia się w:
- Journal of TransLogistics
- Dostawca treści:
- Biblioteka Nauki
Artykuł