Abstract
In view of the fact that the traditional equal interval data sampling method cannot achieve the goal of on-demand compression, this paper designs an adaptive compression system for historical data of power load, which uses the method of combining the average variation of power load data with distortion to compress the data, so as to reduce the amount of data without losing the amount of information, and reduce the burden of later data cleaning and data processing.
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Acknowledgements
This work was supported by the “Thirteenth Five-Year Plan” for scientific and technological research and planning of the Education Department of Jilin Province (JJKH20200121KJ).
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Wu, Y., Wu, M., Shi, Y. (2021). The Adaptive Compression System for Historical Data of Power Load. In: Pan, JS., Li, J., Ryu, K.H., Meng, Z., Klasnja-Milicevic, A. (eds) Advances in Intelligent Information Hiding and Multimedia Signal Processing. Smart Innovation, Systems and Technologies, vol 212. Springer, Singapore. https://doi.org/10.1007/978-981-33-6757-9_12
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DOI: https://doi.org/10.1007/978-981-33-6757-9_12
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