A method for scaling data across different processes includes obtaining first
time series data indicative of one or more input, state, and / or output parameters of a first process over time and second
time series data indicative of one or more input, state, and / or output parameters of a second process over time. The method also includes generating a scaling model that specifies a time-varying scaling relationship of the input, state, and / or output parameters between the first and second processes, and using the scaling model to transfer source
time series data associated with a source process to target time
series data associated with a target process. The source time
series data indicative of one or more input, state, and / or output parameters of the source process over time, and the target time
series data indicative of the input, state, and / or output parameters of the target process over time. The method further includes storing the target time series data in a memory.