Electricity price forecasting using a fuzzy system tuned with a Differential Evolution algorithm

In this paper we present a method which forecast the price of the kW/h for the next hour, this method was developed with an Expansion of Fuzzy Basis Functions (EFBF) and tuned with Differential Evolution (DE) algorithm. It shows a comparison of the validation results for the better individuals when varying the value of two parameters of DE and one parameter of the EFBD. Historical data were supplied by the Company XM belonging to ISA Group.