1. A method for anomaly prediction of parasitic load on a battery comprising: processing input data related to a state of charge for the battery and a durational factor, wherein said processing comprises a machine learning algorithm and is operative to generate a predicted start-up state of charge; and indicating a warning if said predicted start-up state of charge is below a threshold level within an operational time.