Survey of Data Cleansing and Monitoring for Large-Scale Battery Backup Installations

A continuous supply of electrical power is necessary for many areas of modern life, including industry, healthcare, and telecommunications. Therefore, battery backup systems, which can provide power in the event of emergencies, have become extremely important for many types of industries. Due to the importance of these systems, they are often installed and maintained by large firms dedicated to this task, but such firms then must monitor a huge number of such systems. Handling this Big Data problem requires facing two challenges: dealing with potentially noisy and erroneous data in a fashion which preserves the important information and may even help point towards repairable failures in the monitoring systems, and using the cleansed data to build models of the battery systems which will allow for prediction of their state. In this work, we survey the scope of progress in these two areas, presenting papers which have looked at the data cleansing and battery monitoring problems in the context of battery backup installations. We also consider the work which has yet been performed, areas which retain the potential for future research.