Abstract
Along with the construction of intelligent power grid and the continuous expansion of it, power systems produce large amounts of data, it is particularly important to integrate, analysis and process, and traditional data processing technology is difficult to meet the demand. The technology of big data injects new vitality to the development of intelligent power system, in the area of power system mastering the key technology of big data for the sustainable development of the electric power industry and the establishment of a strong smart grid is of great significance. Firstly, this paper does research about the key technology and processing scheme due to big data in power system. Secondly, it explores big data in power system based on cloud computing architecture.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Shilong, L.: Grid integrated electrical equipment on-line monitoring platform based on the design of data acquisition system. Power Electr. 29(2), 29–31 (2009)
Dewen, W.: Center infrastructure and key technologies based on the power of cloud computing data. Autom. Electr. Power Syst. 10(11), 146–169 (2012)
Bingshuai, G., Jinlin, W., Xue, L.: A business related data collection method. J. xi’an Univ. Electron. Sci. Technol. 40(2), 66–73 (2013)
McKinsey & Company. Big data: the next frontier for innovation, competition, and productivity 37(1), 1−28 (2011). McKinsey Global Institute, New York
Wu, X., Zhu, X., Wu, G., et al.: Datamining with big data. IEEE Trans. Knowl. Data Eng. 26(1), 97–107 (2014)
Kim, B.J.: A classifier for big data. In: Proceedings of the 6th International Conference on Convergence and Hybrid Information Technology. ACM, Daejeon (2012)
Kwon, T.H., Kwak, J.H., Kim, K.: A study on the establishment of policies for the activation of a big data industry and prioritization of policies: lessons from Korea. Technol. Forecast. Soc. Change 33(20), 88–93 (2015)
Hansen, D.: Powering business analytics with big data and real-time using data integration. Database Trends Appl. 2(1), 17–19 (2013)
Abdrabou, A., Gaouda, A.M.: Understanding power system behavior through mining archived operational data considerations for packet delivery reliability over polling-based wireless networks in smart grids. Comput. Electr. Eng. 18(20), 118–119 (2015)
Avram, M.G.: Advantages and challenges of adopting cloud computing from an enterprise perspective. Procedia Technol. 27(31), 199–201 (2014)
Divyakant, A., Philip, B., Elisa, B., et al.: Challenges and opportunities with big data. Proc. VLDB Endowment 5(12), 2032–2033 (2012)
Shin, S.-J., Woo, J., Rachuri, S.: Predictive analytics model for power consumption in manufacturing. Procedia CIRP 29(30), 191–194 (2014)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2016 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
About this paper
Cite this paper
Liu, D., Li, G., Fan, R., Guo, G. (2016). Research About Big Data Platform of Electrical Power System. In: Wan, J., Humar, I., Zhang, D. (eds) Industrial IoT Technologies and Applications. Industrial IoT 2016. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 173. Springer, Cham. https://doi.org/10.1007/978-3-319-44350-8_4
Download citation
DOI: https://doi.org/10.1007/978-3-319-44350-8_4
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-44349-2
Online ISBN: 978-3-319-44350-8
eBook Packages: Computer ScienceComputer Science (R0)