To generate the forecast we ll use the

Question

To generate the forecast we ll use the <https nixtla github io statsforecast models html multiple seasonalities|MSTL> model which is well suited for low frequency data like the one used here We first need to import it from `statsforecast models` and then we need to instantiate it Since we re using hourly data we have two seasonal periods one every 24 hours in the documentation from anomaly detection why you here conside the hourly frequency as low frequency

marah othman · Answer

could you see here also please what you recommend after getting the anomaly points do you advice to remove them from the data and replace it by what or something else < Cristian Nixtla >

Cristian (Nixtla) · Answer

Sorry I didnt understand the initial question

marah othman · Answer

It seems there might be a misunderstanding or potential mistake in the documentation regarding the terminology Typically low frequency data refers to data that is sampled or recorded at a lower rate such as daily weekly or monthly intervals Conversely high frequency data refers to data that is recorded at a higher rate such as hourly minute by minute or second by second intervals correct it me if i am wrong please

marah othman · Answer

< Cristian Nixtla >