Design of a big data platform system for power grid enterprise decision-making
Nan Wang, Bo Hu, Dawei Wang, Lixia Wang, Wei Li · 2022 2nd International Conference on Consumer Electronics and Computer Engineering (ICCECE) · 2022
Big data in recent years (big data) technology has been highly concerned and valued by academia, industry and governments all over the world. Data has been widely considered to be as important as other resources. This paper first analyzes the application of big data in power grid, and then uses Hadoop technology to design a big data system suitable for power grid enterprise decision-making based on the characteristics of power platform in a province of China Data platform system. This paper constructs the operation environment and uses the big data platform to sample all kinds of power generation and user side data. Based on the platform, the behavior data of power customers are analyzed and processed, which proves that the technology of big data can better serve the company's business innovation and decision support.