Research on SVM Line Loss Rate Prediction Based on Heuristic Algorithm

Li Tian; Qiang Qiang Wang; An Zhao Cao

doi:10.4028/www.scientific.net/AMM.291-294.2164

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 291-294Research on SVM Line Loss Rate Prediction Based on...

Research on SVM Line Loss Rate Prediction Based on Heuristic Algorithm

Abstract:

With the characteristic of line loss volatility, a research of line loss rate prediction was imperatively carried out. Considering the optimization ability of heuristic algorithm and the regression ability of support vector machine, a heuristic algorithm-support vector machine model is constructed. Case study shows that, compared with other heuristic algorithms’, the search efficiency and speed of genetic algorithm are good, and the prediction model is with high accuracy.

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Periodical:

Applied Mechanics and Materials (Volumes 291-294)

Pages:

2164-2168

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.291-294.2164

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Online since:

February 2013

Authors:

Li Tian, Qiang Qiang Wang, An Zhao Cao

Keywords:

Genetic Algorithm (GA), Line Loss Rate Prediction, Particle Swarm Optimization (PSO) Algorithm, Support Vector Machine (SVM)

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References

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