Abstract
In order to analyze the causal relationship between grid enterprises’ operational indicators, a causality test model based on Granger causality test theory is constructed. We conducted a stability test, grid investment and grid maintenance & operation cost in Zhejiang power grid enterprises, which proves that there is Granger causality between them. The experimental results show that grid investment is the Granger caus and the increase of grid investment drives the increase grid maintenance and operation cost. The Granger cause of grid investment. However, as an important part of grid investment, it has an impact on grid investment.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Rong, L.Q., Guo, Y.: Research on the development of water freight transportation in Guangxi based on GRA and logarithmic regression. J. Guangxi Univ. Sci. Technol. 31(03), 114–121 (2020)
Xiao, X., Liao, C.: An Empirical Study on the relationship between tourism development and regional economic growth in Yongzhou City. J. Hunan Univ. Sci. Technol. 41(03), 47–49 (2020)
Lin, X., Lin, D.: An empirical study on the relationship between investor sentiment and the yield and volatility of shanghai composite index. J. Jilin Univ. Technol. Ind. 36(03), 58–63 (2020)
Zhang, J.: Construction of aquatic product price prediction model based on meteorological factors. Shanghai Ocean University (2020)
Chen, S., Song, S., Li, L., et al.: Overview of smart grid technology. Power Grid Technol. 33(8), 1–7 (2009)
Xu, B., Li, T., Xue, Y.: Intelligent distribution network and distribution automation. Power Syst. Autom. 33(17), 38–41 (2009)
Xiao, S.: Thinking on building China’s smart grid technology. Power Syst. Autom. (2009)
Xin, Y.: Development trend of power grid dispatching automation technology in the new century. Power Grid Technol. (12), 1–10 (2001)
Chen, H., Chen, J., Duan, X., et al.: Power flow calculation of distribution network with distributed generation. Power Syst. Autom. 30(1), 35–40 (2006)
Bi, T., Ni, Y., Wu, F., et al.: Power grid fault diagnosis method based on new neural network. Chin. J. Electr. Eng. (02), 74–79 (2002)
Wang, C., Li, P.: Development and challenges of distributed generation, microgrid and intelligent distribution network. Power Syst. Autom 34(2), 10–14 (2010)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Sun, Q., Lao, Y., Zhu, Y. (2021). Application of Granger Causality Test Model in Power Grid Operation. In: Sugumaran, V., Xu, Z., Zhou, H. (eds) Application of Intelligent Systems in Multi-modal Information Analytics. MMIA 2021. Advances in Intelligent Systems and Computing, vol 1385. Springer, Cham. https://doi.org/10.1007/978-3-030-74814-2_37
Download citation
DOI: https://doi.org/10.1007/978-3-030-74814-2_37
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-74813-5
Online ISBN: 978-3-030-74814-2
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)