Segmented Auxiliary Power Model Based on Particle Swarm Optimization

Shao Chen Wu; Hai Sheng Liu; Fu Liang Deng

doi:10.4028/www.scientific.net/AMR.1044-1045.1321

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 1044-1045Segmented Auxiliary Power Model Based on Particle...

Segmented Auxiliary Power Model Based on Particle Swarm Optimization

Abstract:

The traditional modeling approach of auxiliary power is the least squares method, however, accuracy of the traditional least squares method is not high in fitting and forecasting, so we introduced segmentation method of least squares model, and consider the impact of many factors on the model ,proposed the improved least square method based on PSO. Application prove this method has a better fitting precision and predicition accuracy.

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Periodical:

Advanced Materials Research (Volumes 1044-1045)

Pages:

1321-1324

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.1044-1045.1321

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Online since:

October 2014

Authors:

Shao Chen Wu, Hai Sheng Liu, Fu Liang Deng

Keywords:

Auxiliary Power, Least-Square Method (LSM), PSO, Segmentation

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