Hi everyone!

I would like to conduct a research concerning the energy demand forecasting. Unfortunately, my data is stationary Dickey Fuller test and Phillips Perron also verified the stationarity and also the graphical repersentation of the data. So, I cannot employ an ARIMA model or a State-Space. Do you have any idea about different forecasting methods with stationary time-series? Typically, I've run an ARMA model what else do you think I can do? Thank you for your advice. The scope of my paper is the comparison of different econometric approaches, but I cannot follow the Box-Jenkins methodology as long as my time series is I(0). Additionally, I would like to ask you if there is a code for Artificial Neural Networks. Thank you for your help!

I would like to conduct a research concerning the energy demand forecasting. Unfortunately, my data is stationary Dickey Fuller test and Phillips Perron also verified the stationarity and also the graphical repersentation of the data. So, I cannot employ an ARIMA model or a State-Space. Do you have any idea about different forecasting methods with stationary time-series? Typically, I've run an ARMA model what else do you think I can do? Thank you for your advice. The scope of my paper is the comparison of different econometric approaches, but I cannot follow the Box-Jenkins methodology as long as my time series is I(0). Additionally, I would like to ask you if there is a code for Artificial Neural Networks. Thank you for your help!

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