I am creating models to analyze energy use in four U.S. states. The goal is to create a model to explain historical data (1960-2009) as well as to create a forecast for 2025 and 2050. I am using R and settled on using the
auto.arima function. After running
auto.arima for one state my output is as follows:
The code I am using is
CAP <- ts(ca_prod$Data,frequency = 1,start = c(1960)) plot(CAP) autoarimaCAP <- auto.arima(CAP) forecastCAP <- forecast(autoarimaCAP, h=45) forecastCAP plot(forecastCAP, main = "CA Forecast Total Production") plot(forecastCAP$residuals) qqnorm(forecastCAP$residuals) acf(forecastCAP$residuals) pacf(forecastCAP$residuals) summary(autoarimaCAP)
How would I use the coefficients to create an equation to explain the historical data?