Comparative study of enhanced artificial intelligence and traditional methods for load flow solutions and contingency evaluation in power systems /

Saved in:
Bibliographic Details
Main Author: Kubba, Hassan Abdullah
Format: Thesis Book
Language:English
Published: 2012.
Subjects:
Tags: Add Tag
No Tags, Be the first to tag this record!
LEADER 01338cam a2200289 a 4500
001 u867361
003 SIRSI
005 201210240917
008 121024s2012 my a t 000 0 eng m
040 |a UMM 
090 |a TK7  |b UMP 2012 Kub 
100 1 |a Kubba, Hassan Abdullah. 
245 1 0 |a Comparative study of enhanced artificial intelligence and traditional methods for load flow solutions and contingency evaluation in power systems /  |c Hassan Abdullah Kubba. 
260 |c 2012. 
300 |a [i] xxiv, 302 leaves :  |b ill. ;  |c 30 cm. 
502 |a Thesis (Ph.D) -- Institut Pengajian Siswazah, Universiti Malaya, 2012. 
504 |a Bibliography: leaves 206-218. 
596 |a 1 7 
650 0 |a Artificial intelligence  |x Engineering applications. 
650 0 |a Electric power systems  |x Load dispatching  |x Data processing. 
650 0 |a Electric power system stability. 
650 0 |a Electric power systems  |x Reliability. 
710 2 |a Universiti Malaya.  |b Jabatan Kejuruteraan Elektrik. 
900 |a US-ZA 
999 |a TK7 UMP 2012 KUB  |w LC  |c 1  |i A515251454  |d 14/8/2013  |f 14/8/2013  |g 1  |l STACKS  |m P07JURUTER  |r Y  |s Y  |t TESIS  |u 14/8/2013 
999 |a TK7 UMP 2012 KUB  |w LC  |c 2  |i A515251423  |l STACKS  |m P07JURUTER  |r Y  |s Y  |t CD  |u 14/8/2013 
999 |a TK7 UMP 2012 KUB  |w LC  |c 1  |i A515361106  |d 13/9/2018  |e 13/9/2018  |f 26/8/2013  |g 1  |l STACKS  |m P01UTAMA  |n 1  |r Y  |s Y  |t TESIS  |u 26/8/2013