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Improved filling algorithm to missing load based on the time series and regressing

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4 Author(s)
Wu Huan Duan ; Sch. of Manage., USTC, Hefei, China ; Yu Dong ; Chun Sheng Li ; Xiao Qiang Zhong

According to the continuity of time, hysteresis and periodic of power load, proposed the time series-regression algorithm. The algorithm modeling based on load characteristics, the relevance of the load and the hysteresis of daily at different time, and then do DW test for errors, solve the problems of the randomness and diversity of missing load. Experimental results show that the proposed algorithm outperforms the existing algorithms.

Published in:

Electrical and Control Engineering (ICECE), 2011 International Conference on

Date of Conference:

16-18 Sept. 2011

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