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An End-to-End Traffic Estimation Algorithm via Multifractal Wavelet Model and Principal Component Analysis in Smart Grid

In this paper, we study the problem of end-to-end network traffic estimation in the electric power communication network. Based on principal component analysis and multifractal wavelet model, we propose an effective and precise approach to estimate each origin-destination pair. Numeral results state that our method can capture the changes of end-to-end network traffic accurately in electric power communication network.