Experimental study on electricity price forecasting using neural network (original) (raw)

2014

Abstract

It is very important to forecast electricity price in a deregulated electricity market for choosing the bidding strategy, and it is the most important signal for other players. It engulfs information for both customers and producers in order to maximize their profit. Thus, choosing the best method of price forecasting is a crucial task to have the most accurate forecast. In this paper the price forecasting is done based on Neural Network (NN). The method is examined by using data of an electricity market. The results are compared and described well in the results section.

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