文章基本信息

标题：Electric Load Forecasting using a Neural Network Approach
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作者：Vinutha H D ; K C Gouda ; Chandan K N 等
期刊名称：International Journal of Computer Trends and Technology
电子版ISSN：2231-2803
出版年度：2014
卷号：11
期号：6
页码：245-249
DOI：10.14445/22312803/IJCTT-V11P152
出版社：Seventh Sense Research Group
摘要：The electric Power industry is currently undergoing an unprecedented reform. One of the most exciting and potential benefit of recent developments is increasing usage of artificial intelligence techniques. The intention of this paper is to give an overview as well as the techniques for the Short term load forecasting using the weather parameter like rainfall and implementing a neural network techniques in the power systems. This prediction shows a combined approach of predicted rainfall and the ANN will help for the better forecasting of electric load at city scale.
关键词：Electric Load Forecasting using a Neural Network Approach