With the proliferation of smart grid and Internet of Things (IoT) technologies, the power industry is facing the challenge of managing and processing large-scale real-time data streams. These data come from a variety of sources such as smart meters, sensors, weather forecasting systems, energy production equipment, etc., and are characterized by high frequency and low latency.

In this context, how to design efficient data architectures and stream processing techniques to support real-time decision making has become a key issue. For example, how to optimize power scheduling and load distribution through real-time data analysis? How to utilize real-time data streams to make quick responses when unexpected events (e.g., natural disasters or equipment failures) occur? In addition, how to ensure the security and reliability of real-time data is also a pressing issue in the industry.