Building Data Management Systems for Power Grid Companies Using Data Middleware Architecture
Yi Shen, Xin Yi He, Jingchuan Zhu, Pengyu Zhang, Xinxin Lv, Fei Zheng · 2023
As power grid companies increasingly focus on data management techniques, improving data systems has become an important area of research and development. However, current data management practices still face challenges in integrating and leveraging data effectively. This paper proposes building advanced data management systems for power grid enterprises using a data middleware architecture. The system aims to enable seamless data integration from diverse sources and provide a unified platform for managing master data. The proposed approach explores methods for consolidating data from legacy systems and new data sources onto a centralized platform. This research intends to develop an effective data management solution to support intelligent operations and innovation in the electric power industry.