Open AccessRETRACTED: Research on Big Data Analysis Platform of Power Grid Enterprise Accounting Based on Cloud Computing
Author(s) -
Jian Tian,
Xu Dan,
Meng Cui
Publication year - 2019
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/677/4/042110
Subject(s) - big data , cloud computing , computer science , smart grid , data science , process (computing) , electric power system , grid , power grid , power (physics) , distributed computing , data mining , engineering , operating system , electrical engineering , physics , quantum mechanics , geometry , mathematics
With the development of smart grids, big data is generated in all aspects of the power system, and the traditional financial system is no longer able to accurately analyze the large amount of financial data. In this paper, based on the problems arising from the traditional financial system decision-making process, the decision-making of grid financial system based on big data and cloud computing is proposed. Through the analysis of the big data characteristics of the power system, the application of big data and cloud computing in the smart grid is clarified, and the external application oriented to the customer group and the internal application oriented to the system flow are explored. Taking the operation and maintenance cost of an actual substation in the power grid as an example, the paper uses the idea of big data to conduct scientific research on its operation and maintenance cost, which intuitively reflects the application of big data, and makes the readers clearer and vividly see big data. How to apply it to accelerate the application development of big data in China.