Measurement Simulation of Leakage Risk Tolerance of Power Big Data Based on Improved Fourier Transform Algorithm

To evaluate and measure the acceptability of the leakage risk of the power big data, a measurement simulation study based on an improved Fourier transform algorithm is proposed. The anomaly detection of power big data is carried out by constructing the dissimilarity matrix, and the leak location of power big data is realized by using the improved Fourier transform algorithm. On this basis, the measurement process of the leakage risk tolerance of power big data is designed, and the tolerance is calculated to achieve measurement based on the improved Fourier transform algorithm. The experimental results show that the improved Fourier transform algorithm has a good improvement effect, and the measurement accuracy of leakage risk tolerance is high.