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Analysis on Influencing Factors of Electricity Sales for Electric Data Security

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Cyberspace Safety and Security (CSS 2020)

Part of the book series: Lecture Notes in Computer Science ((LNSC,volume 12653))

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Abstract

Electricity has become one of the most important energy in human social. A reliable analysis of the influencing factors of electricity sales will help strengthen the electricity companies, related national energy departments’ control and security over the expected electricity consumption across the country. In this paper, we analyze the relationship between different types of electricity sales and a variety of potential factors, including immediacy factors, leading factors and the influencing of Chinese New Year by using Pearson correlation coefficient, dynamical time warping. Through the result of experiment, we found that the influencing factors are different for different electricity usage categories. And some factors have lagging effects on electricity sales, so we need to comprehensively consider immediacy factors and leading factors when forecasting electricity sales. At the same time, we also found that Chinese New Year also has a significant impact on electricity sales, thus Chinese New Year is also is also an important factor affecting electricity sales.

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Acknowledgement

This work was supported in part by the National Natural Science Foundation of China under Grant No. 61803391, and in part by the Hunan Provincial Natural Science Foundation of China under Grant No. 2019JJ50803.

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He, H., Zou, W., Guo, Q., Wu, W., Xiao, K. (2021). Analysis on Influencing Factors of Electricity Sales for Electric Data Security. In: Cheng, J., Tang, X., Liu, X. (eds) Cyberspace Safety and Security. CSS 2020. Lecture Notes in Computer Science(), vol 12653. Springer, Cham. https://doi.org/10.1007/978-3-030-73671-2_15

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  • DOI: https://doi.org/10.1007/978-3-030-73671-2_15

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-73670-5

  • Online ISBN: 978-3-030-73671-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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