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

Autor: Jia Xiang Ou, Zhong Xiao Cong, Peng Cheng Li, Zhi Wei Peng
Rok vydání: 2014
Předmět:
Zdroj: Advanced Materials Research. :1439-1445
ISSN: 1662-8985
DOI: 10.4028/www.scientific.net/amr.1070-1072.1439
Popis: 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.
Databáze: OpenAIRE