Periodic Price Avarages Forecasting of MCP in Day-Ahead Market

Senocak F., KAHVECİ H.

National Conference on Electrical, Electronics and Biomedical Engineering (ELECO), Bursa, Turkey, 1 - 03 December 2016, pp.664-668 identifier

  • Publication Type: Conference Paper / Full Text
  • Volume:
  • City: Bursa
  • Country: Turkey
  • Page Numbers: pp.664-668
  • Karadeniz Technical University Affiliated: Yes

Abstract

The electric reference price formed in on the day ahead market is anticipated and becomes a reference for the market participants to determine the reference price formed in the forward-looking bilateral contracts prices, in determination of energy trade risks and making energy investments. In this study, Market Clearing Price (MCP) estimation has been made with the estimation methods Adaptive Network Based Fuzzy Inference Systems-ANFIS and Artificial Neural Networks-ANN and as a result the most successful method has been shown. Matlab platform is used for our model practice ANFIS and an interface created in C# programming language is used for ANN.