I am trying to find my way around in the different R time series packages.
My data series consists of hourly prices for around 7 years. The rows are the days, and every row has 24 hourly values.
I know that there are daily effects, weekly effects and longer seasonal effects. I want to run forecasting models like ARIMA. However most models (and ts
objects) only allow a single frequency for seasonal effects. This is for example the different hourly averages per month.
Which models can I use, and what form should I store my data in to use them?