The Mamba application is my current research project so I haven’t published anything yet. But the basic idea is to create a latent representation of the static features, repeat the latent vector to form a time series, concatenate with the weather/occupancy time series, run through mamba layers, and bob’s your uncle. Shoot me an email (in my bio) if you would like to chat more!
I can also share my master’s thesis which is similar but using CNN layers rather than Mamba and only for monthly predictions rather than 15-min interval data. There are some other architectural differences but the basics are the same. That work is also globally robust.
As you can imagine, the current work I am doing at a much higher resolution is a big step up, and Mamba so far is working out great.
