Hello!

I’m working on my dissertation and I want to use HTM for battery prediction. For example, predicting remaining power based on battery voltage and current, which is battery SOC. Data sampling interval is the same. Do I have to use the Temporal Memory algorithm in this case? I think because nupic.torch is a sparse CNN implementation. No Temporal Memory algorithm here. If it has to use Temporal Memory algorithm, does this mean that nupic.torch cannot be used? In this case I can only use htm.core?

Should multi-dimensional inputs like voltage, current, temperature, etc. use multiple encoders? Then concatenate all these encodings into one large encoding for Spatial Pooling.

I see the related translation will translate “Pooling” in “Spatial Pooling algorithm” into “pond”, I think it should be translated into “clustering”. Maybe my words are inaccurate, but that’s probably what I mean.

Any help would be much appreciated.