Is there any support for additional columns for forecasting in neural prophet?

[Cpt-Falcon]

In Keras LSTM I can specify the input shape including the number of features. So for example, lets use the forecasting hourly solar irradiance case. ds is the dates in hours, y is the solar irradiance hitting a solar panel, then maybe y1 is the real solar irradiance, and y2 is the cloud cover percentage. The cloud cover percentage possibly follows a very different periodicity than solar irradiance and could give the neural network much more information on the forecast. However, there is also probably a large relationship between the different seasons from real solar irradiance and how many clouds are generated. There is some kind of differential relationship between solar irradiance and cloud cover that could be learned to make better forecasts. How can I do this kind of forecasting with neural prophet?