Hi guys,
I'm very interested in this topic, but I have ZERO knowledge about it (and not enough time). Have been googling a bit about 'time series prediction'. Would be great to have some kind of node-red-contrib-prediction that predicts future values based on the values in the past.
Found some tutorials (e.g. 1, 2, 3, 4) about time series prediction with neural networks in Tensorflow. However from this article, I understand (with my small shrinked brain) that machine learning is not the way to go: since machine learning needs large training datasets, and we most of the time have smaller datasets for sensors. Is that correct or have I completely misunderstood this?
In the latter case, would the timeseries-analysis nodeJs module be a good alternative to start developing a new node-red-contrib-prediction node? It contains a whole section about data prediction.,,
Bart
