# Use both differencing and normalization in time series modeling to make it stationary?

I am working on a time series dataset. Should we use both differencing and normalizing or either of the ones to make it stationary?

Differencing $$K$$ times is a common method of stationarizing time series if it is integrated of order K, $$I(K)$$, and usually works in practice. However, note that stationarity implies $$I(0)$$ but the converse is not necessarily true.