Periodic price avarages forecasting of MCP in day-ahead market

摘要

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.