Abstract and keywords
Abstract (English):
Trends in the development of artificial intelligence and the use of neural networks as applied to the power industry are considered. It is revealed that the well-known forecasting systems based on artificial neural networks are difficult to formalize and get an unambiguous solution. Therefore, this problem must be solved using a systematic approach that combines the capabilities of artificial neural networks and fuzzy logic under conditions of partial uncertainty of parameters

Keywords:
artificial intelligence, electricity, neural networks
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References

1. Sudavnyy A.S. Primenenie iskusstvennyh neyronnyh setey v elektroenergeticheskom komplekse / Izvestiya TulGU // Tehnicheskie nauki. - 2012. -Vyp. 12. - Ch. 3. - S. 136-139.

2. Staroverov B.A., Gnatyuk B.A. Opredelenie naibolee perspektivnyh neyronnyh setey i sposobov ih obucheniya dlya prognozirovaniya elektropotrebleniya // Vestnik IGEU. - 2015. - Vyp. 6. - S. 1-7.

3. Goreva T.I., Pornyagin N. N., Pyukke G.A. Neyrosetevye modeli diagnostiki tehnicheskih sistem / Vestnik KRAUNC // Fiz.-mat. Nauki. - 2012. -№1(4). - S. 31-43.

4. Shevcov O.V. Tehnologii iskusstvennogo intellekta v energeticheskoy otrasli. [Elektronnyy resurs]. - URL: http://promdevelop.ru/industry/tehnoogii-iskusstvennogo-intellekta-v-energeticheskoj-otrasli/.

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