Pay Attention: Leveraging Sequence Models to Predict the Useful Life of Batteries

no code implementations • 3 Oct 2019 • Samuel Paradis, Michael Whitmeyer

We use data on 124 batteries released by Stanford University to first try to solve the binary classification problem of determining if a battery is "good" or "bad" given only the first 5 cycles of data (i. e., will it last longer than a certain threshold of cycles), as well as the prediction problem of determining the exact number of cycles a battery will last given the first 100 cycles of data.

Binary Classification General Classification