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Photovoltaic (PV) power generation's advantage of mitigating fossil energy consumption and environment friendly results in its widespread utilization. However, inaccurate PV output prediction will cause problems of dispatching, stability and reliability in power system. PV output is directly affected by the solar irradiance. Without solar irradiance monitoring facilities and only relying on the basic...
For very large datasets, random projections (RP) have become the tool of choice for dimensionality reduction. This is due to the computational complexity of principal component analysis. However, the recent development of randomized principal component analysis (RPCA) has opened up the possibility of obtaining approximate principal components on very large datasets. In this paper, we compare the performance...
Noise source identification is essential for making noise reduction strategies. This paper presents an approach to acoustic noise identification by introducing modern spectrum estimation, Grey Support Vector Regression (GSVR). Modern spectrum was used to recognize the main noise source and GSVR was used to do curve fitting to recognize the similarity among different curves of power spectrum which...
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