Model for distributing a time series into component time series based on historical data

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I have a use case where I am trying to split a time series into multiple time series based on historical data. I am finding it difficult to locate literature on one to many regression problems . I could use RNNs for their one to many architecture but they sort of assume a sequence in the outputs while in a distribution problem there is no sequence. I have no exogenous features. Are there any other models/architectures I could use for the same?

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