A New Method of Power System Load Forecasting Based on Intelligent Optimization Algorithm

Zhong Xiao Cong; Peng Cheng Li; Jia Xiang Ou; Zhi Wei Peng

doi:10.4028/www.scientific.net/AMR.1070-1072.1439

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 1070-1072A New Method of Power System Load Forecasting...

A New Method of Power System Load Forecasting Based on Intelligent Optimization Algorithm

Abstract:

Based on the research on the basis of analyzing the mechanism of polynomial fitting model, The polynomial fitting model or method was established based on intelligent optimization algorithm. The proposed method was applied to electric power system load forecasting, by a practical example’s calculation and analysis, this proposed intelligent optimization algorithm or method was verified to be feasible in the power system load forecasting, the results also showed that the method was compared with the traditional algorithm has superiority and has a broad application prospect in the field of polynomial fitting.

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Periodical:

Advanced Materials Research (Volumes 1070-1072)

Pages:

1439-1445

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.1070-1072.1439

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Online since:

December 2014

Authors:

Zhong Xiao Cong*, Peng Cheng Li, Jia Xiang Ou, Zhi Wei Peng

Keywords:

Intelligent Optimization Algorithm, Particle Swarm Optimization (PSO), Polynomial Fitting, Power System Load Forecasting

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* - Corresponding Author

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