[R] Check accuracy of the model
|@heemj@n93 @end|ng |rom y@hoo@com
Sat Apr 17 21:32:55 CEST 2021
Hi, hope that you will be fine, I have a problem with functional time series,
I am working with the hourly electricity spot price data, due to the large dimensionality I convert the discrete data into functional data. The model I use the functional autoregressive model of order more than one, as per my knowledge there no R package available to deal with such model, so I apply an alternative method, using the functional principal components (FPC's) as dimensional reduction, utilizing the associated principal components for the forecasting through multivariate time series model. Then I convert these forecast scores into functional curves through Karhunen-Loeve decomposition into a functional form, in such a way I obtained a forecast of each day as a single curve. Know, to check the accuracy of the model I want to calculate percentage mean square error or mean absolute error. know my problem start from here, So I want to reverse back each curve into 24 discrete points, is there is any package in R which is helpful in dealing with such a problem. I will be waiting for your fruitful reply in this regard.
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