Electricity markets are composed of different agents that make their offers to sell and/or buy energy. These agents need forecasting tools to have an accurate prediction of the prices that they will face either in the day-ahead or long-term time spans. This work presents the ECOnometrics TOOLbox (ECOTOOL), a new MATLAB forecasting toolbox that embodies several tools for identification, validation and forecasting models based on time series analysis, among them, ARIMA, Exponential Smoothing, Unobserved Components, ARX, ARMAX, Transfer Function, Dynamic Regression and Distributed Lag models. The toolbox is presented in all its potentiality and several real case studies, both on the short and medium term, are shown to illustrate its applicability.
ARIMA ARMAX ARX Dynamic regression Exponential smoothing MATLAB forecasting toolbox Transfer function
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This work was supported in part by the Spanish Ministry of Education grant ENE2009-09541 and the Junta de Comunidades de Castilla – La Mancha grants PII2I09-0154-7984 and PII1I09-0209-6050.
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