School of Business Administration, Jilin Engineering Normal University, Changchun 130052, Jilin, China
*Corresponding author e-mail: email@example.com
With the rapid development of digital technologies such as big data and cloud computing, smart grids have also made considerable progress. A large number of sensors are embedded in the existing power grid system, and modern information technology is used to control and monitor them. These sensors collect a large amount of data, and the existing traditional financial management system cannot process and analyze the huge data in a timely and accurate manner. This paper proposes the use of big data to process and analyze the accounting data of the smart grid, so that the financial system of the grid company can better serve the grid company. Hope to help grid companies in financial management.
Cloud Computing, Big Data Platform, Accounting Business, Power Grid Enterprise, Time Series Analysis
Jia Tian. Research on Big Data Platform of Power Grid Enterprise Accounting Business Based on Cloud Computing Analysis. International Journal of Frontiers in Sociology (2020), Vol. 2, Issue 9: 48-55. https://doi.org/10.25236/IJFS.2020.020907.
 Feng Guorui, Wang Liang. Research on Decision Making of Grid Financial System Based on Big Data and Cloud Computing. Telecommunication Power Technology, Vol. 1 (2017) No.28, p. 103-105.
 Huang Lei, Tao Rui. Power Big Data Analysis Technology and Application Based on Cloud Computing. Digital Technology & Applications, Vol. 2 (2017) No.15, p. 175-183.
 Dong Huabiao. Power Big Data Analysis Technology and Application Based on Cloud Computing. Nanfang Agricultural Machinery, Vol. 5 (2017) No.23, p. 105+107.
[4 ] Xie Xinwen. On the Application of Big Data and Cloud Computing Technology in Enterprise Financial Management. Financial Economy, Vol. 3 (2015) No.14, p. 204-205.
 Yang Xiaoyan, Liao Qingyuan. Design and Implementation of Intelligent Financial Information Platform Based on Cloud Computing in Big Data Era. Information and Computer (Theoretical Edition), Vol. 7 (2016) No.18, p. 26-28.
 Wang Xianghong, Chen Yuyi. Research on the Status Quo and Development Trend of Cloud Computing and Power Big Data Technology. Shaanxi Electric Power, Vol. 6 (2017) No.13, p. 52-55.
 Lou Fengdan, Yan Xubin, Wang Zhiqiang, et al. Research on Power Search Engine Technology Based on Cloud Computing and Big Data Technology. Power System and Clean Energy, Vol. 12 (2016) No.32, p. 86-92.