Electricity Price Forecasting Using a Fuzzy System Tuned with a Differential Evolution Algorithm

被引：0

作者：

Riano, Ivan ^{[1
]}

Perdomo, Oscar E. ^{[2
]}

机构：

[1] Icaro Soluc Aereas, Bogota, Colombia

[2] Univ Dist Francisco Jose de Caldas, Bogota, Colombia

来源：

2015 IEEE PES INNOVATIVE SMART GRID TECHNOLOGIES LATIN AMERICA (ISGT LATAM) | 2015年

关键词：

Back propagation; forecasting; power prices; fuzzy system; differential evolution;

D O I：

暂无

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

In this paper we present a method which forecast the price of the kW/h for the next hour, this method was developed with an Expansion of Fuzzy Basis Functions (EFBF) and tuned with Differential Evolution (DE) algorithm. It shows a comparison of the validation results for the better individuals when varying the value of two parameters of DE and one parameter of the EFBD. Historical data were supplied by the Company XM belonging to ISA Group.

引用

页码：792 / 795

页数：4

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