Open AccessResearch on Data Acquisition and Sharing Methods Under Power Demand Side Management Based on Big Data Mining Analysis
Author(s) -
Zhaoguang Yang,
Mingjun Jiang,
Wang Linxin,
Xiaolong Wang,
Jing Shao
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1992/3/032133
Subject(s) - big data , data sharing , data science , demand side , power (physics) , china , computer science , mode (computer interface) , electric power , data management , order (exchange) , data acquisition , data mining , business , environmental economics , economics , finance , geography , medicine , physics , alternative medicine , archaeology , pathology , quantum mechanics , operating system
Nowadays, China’s power demand system reform has gone through many stages. With the rapid growth of China’s population, China’s power demand is also increasing rapidly. After experiencing the heavy pressure growth period, the power system really provides us with great convenience. However, it will also bring a lot of bad problems. In order to solve these problems, we must innovate the electric power industry [1]. Data acquisition and sharing in side management mode is the basic part of power demand management. Nowadays, the development of big data has gradually become prosperous. Many experts believe that data mining can be used to support data acquisition and sharing of power side management. This paper briefly summarizes the theory of power big data and power side management. On this basis, this paper proposes a data source and data sharing model based on data mining.