Assessing the Harmonic Emission Level Based on Partial Least-Squares Regression with Data Envelopment Analysis
2014 ◽
Vol 989-994
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pp. 3367-3370
Keyword(s):
A novel method is used for assessing the harmonic emission level, which is based on the partial least-squares (PLS) regression with data envelopment analysis (DEA). Based on measuring the harmonic voltage and current at the point of common coupling (PCC) and removing the inefficiency data with DEA, regression coefficients are worked out through partial least-squares algorithm. Consequently the harmonic emission level of customer is calculated.The proposed approach removes the effect of outlying data points and gets accurate estimation results. The simulation results prove that the proposed method is more effective than PLS.
2014 ◽
Vol 12
(7)
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2020 ◽
Vol 285
(3)
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pp. 1011-1024
2013 ◽
Vol 448-453
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pp. 2380-2383
2015 ◽
Vol 135
(2)
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pp. 236-243
2012 ◽
Vol 61
(2)
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pp. 277-290
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