A Long Term Load Forecasting of an Indian Grid for Power System Planning

被引：3

作者：

Behera R. ^{[1
]}

Pati B.B. ^{[2
]}

Panigrahi B.P. ^{[1
]}

机构：

[1] Department of Electrical Engineering, Indira Gandhi Institute of Technology Sarang, Dhenkanal, 759146, Odisha

[2] Department of Electrical Engineering and EEE, Veer Surendra Sai University of Technology, Burla, Sambalpur, 768018, Odisha

来源：

Journal of The Institution of Engineers (India): Series B | 2014年 / 95卷 / 04期

关键词：

Curve fitting; Fitness function; Genetic algorithm; Load forecasting; Mutation; Power system planning;

D O I：

10.1007/s40031-014-0115-y

中图分类号：

学科分类号：

摘要：

This work incorporates the identification of model in functional form using curve fitting and genetic programming technique which can forecast present and future load requirement of an Indian grid. Here new fitness function has been used in the genetic algorithm, the forecasting result has been compared with other model to find suitability of a model in this regional environment. © 2014, The Institution of Engineers (India).

引用

页码：279 / 285

页数：6

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