UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
Call for Paper
Volume 11 | Issue 4 | April 2024

JETIREXPLORE- Search Thousands of research papers



WhatsApp Contact
Click Here

Published in:

Volume 4 Issue 10
November-2017
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

7.95 impact factor calculated by Google scholar

Unique Identifier

Published Paper ID:
JETIR1710089


Registration ID:
170815

Page Number

528-532

Share This Article


Jetir RMS

Title

Economic Dispatch Using Classical Methods And Neural Networks

Abstract

This paper presents the economic dispatch studies for electrical power systems using two approaches. In the first approach a classical method is used which is the gradient method, whereas, in the second approach a method that belongs to the field of artificial intelligence, which is the neural networks method, is used. In both cases system constraints like line losses and generators limits are included.

Key Words

Neuron Model

Cite This Article

"Economic Dispatch Using Classical Methods And Neural Networks", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.4, Issue 10, page no.528-532, November-2017, Available :http://www.jetir.org/papers/JETIR1710089.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Economic Dispatch Using Classical Methods And Neural Networks", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.4, Issue 10, page no. pp528-532, November-2017, Available at : http://www.jetir.org/papers/JETIR1710089.pdf

Publication Details

Published Paper ID: JETIR1710089
Registration ID: 170815
Published In: Volume 4 | Issue 10 | Year November-2017
DOI (Digital Object Identifier):
Page No: 528-532
Country: AHMEDABAD, Gujarat, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


Preview This Article


Downlaod

Click here for Article Preview

Download PDF

Downloads

0003126

Print This Page

Current Call For Paper

Jetir RMS