A Data Lake Architecture for Monitoring and Diagnosis System of Power Grid
Ying Li, Aimin Zhang, Xinman Zhang, Zhihui Wu · 2018
In this paper, a data lake architecture is proposed for a class of monitoring and diagnostic systems applied to power grid. The differences between data lake and data warehouse is studied to make an informed decision on how to manage a huge amount of data. To adapt to the characteristics and performances of historical data and real-time data of power grid equipment, a monitoring and diagnosis system based on data lake storage architecture is designed. The application of the framework indicates the applicability and effectiveness of data lake architecture.