Local power demand estimation based on artificial neural network technique

KILIÇ O., ATTAR F., YUMURTACI R., TANRIÖVEN M.

Proceedings of the 1998 9th Mediterranean Electrotechnical Conference, MELECON. Part 2 (of 2), Tel-Aviv-Yafo, İsrail, 18 - 20 Mayıs 1998, cilt.2, ss.988-991 identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Cilt numarası: 2
  • Basıldığı Şehir: Tel-Aviv-Yafo
  • Basıldığı Ülke: İsrail
  • Sayfa Sayıları: ss.988-991
  • Yıldız Teknik Üniversitesi Adresli: Evet

Özet

The demand to electrical energy increases day by day. It is very important to reflect this increasing demand accurately to power plant planning. ANN technique can be effectively used in load forecasting. In this paper, ANN load forecasting is performed by using some non-linear input parameters such as temperature, humidity, rain conditions. Real electrical data obtained for the national grid and meteorological parameters are used in the presented application.