Cart (Loading....) | Create Account
Close category search window
 

Power system load dynamic characteristics identification based on Elman neural network

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Bin Liao ; Inst. of Electr. & Inf. Eng., Changsha Univ. of Sci. & Technol., Changsha, China ; Rui Ma

This paper analyzed and expounded the defects in the BP neural network is used to identify dynamic characteristics of power system load, this article introduces one kind has the function of dynamic feedback in Elman neural network load model, and this model has simple structure, convenient, few parameters, application of dynamic characteristics described and comprehensive load identification, so this article discusses the application of Elman neural network identification the dynamic characteristic of electrical load, and analyses identification process problems should be paid attentioned .The application shows that the identification method is useful and practical.

Published in:

Electrical and Control Engineering (ICECE), 2011 International Conference on

Date of Conference:

16-18 Sept. 2011

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.