Smart grid time series big data processing system

Abstract

With the development of critical theories and technologies in Internet of things (IOT), more and more attentions have been focused on the IOT applications. Smart Grid is one of the typical IOT applications on which a huge number of sensors have been deployed to gather and generate time series data to make sense of the running states of the key devices. How to apply these data to make Smart Grid running secure and stable is a hot research topic. By considering the fact that Smart Grid is characterized by a huge number of devices, a huge amount of data and the high speed data generating, this paper presents an approach to store and process time series big data in Smart Grid based on HBase. Based on the method above, we built a processing system for time series big data in Smart Grid. The emphasis is a policy-driven method to make the time series data organized on demand. We deploy the HBase cluster to verify effectiveness of our work. Finally, we conclude and outlook the future research directions.