Multivariate Time Series Forecasting with CNN-LSTM and features [D]

I want to implement a multivariate multi-step CNN-LSTM model, to obtain forecasts for monthly sales of several different products. Furthermore, I want to include additional time-series data (features) as input. So for example:

Input: time series of product 1, product 2, GDP, PMI

Output: product 1 (monthly 6-steps ahead), product 2 (monthly 6-steps ahead)

I have a couple of questions:

1. **Feasibility:** I've been researching this approach, but I haven't found many tutorials or guides on how to tackle multivariate …

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