INVESTIGATION OF NEURAL-FUZZY CONTROL TECHNIQUES FOR POWER SYSTEM STABILITY ENHANCEMENT

Master's

Saved in:
Bibliographic Details
Main Author: CHEN QI
Other Authors: ELECTRICAL ENGINEERING
Format: Theses and Dissertations
Published: 2020
Online Access:https://scholarbank.nus.edu.sg/handle/10635/172330
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: National University of Singapore
id sg-nus-scholar.10635-172330
record_format dspace
spelling sg-nus-scholar.10635-1723302020-11-19T13:57:13Z INVESTIGATION OF NEURAL-FUZZY CONTROL TECHNIQUES FOR POWER SYSTEM STABILITY ENHANCEMENT CHEN QI ELECTRICAL ENGINEERING TAN SHAOHUA CHANG CHE-SAU Master's MASTER OF ENGINEERING 2020-08-11T10:12:08Z 2020-08-11T10:12:08Z 1996 Thesis CHEN QI (1996). INVESTIGATION OF NEURAL-FUZZY CONTROL TECHNIQUES FOR POWER SYSTEM STABILITY ENHANCEMENT. ScholarBank@NUS Repository. https://scholarbank.nus.edu.sg/handle/10635/172330 CCK BATCHLOAD 20200814
institution National University of Singapore
building NUS Library
continent Asia
country Singapore
Singapore
content_provider NUS Library
collection ScholarBank@NUS
description Master's
author2 ELECTRICAL ENGINEERING
author_facet ELECTRICAL ENGINEERING
CHEN QI
format Theses and Dissertations
author CHEN QI
spellingShingle CHEN QI
INVESTIGATION OF NEURAL-FUZZY CONTROL TECHNIQUES FOR POWER SYSTEM STABILITY ENHANCEMENT
author_sort CHEN QI
title INVESTIGATION OF NEURAL-FUZZY CONTROL TECHNIQUES FOR POWER SYSTEM STABILITY ENHANCEMENT
title_short INVESTIGATION OF NEURAL-FUZZY CONTROL TECHNIQUES FOR POWER SYSTEM STABILITY ENHANCEMENT
title_full INVESTIGATION OF NEURAL-FUZZY CONTROL TECHNIQUES FOR POWER SYSTEM STABILITY ENHANCEMENT
title_fullStr INVESTIGATION OF NEURAL-FUZZY CONTROL TECHNIQUES FOR POWER SYSTEM STABILITY ENHANCEMENT
title_full_unstemmed INVESTIGATION OF NEURAL-FUZZY CONTROL TECHNIQUES FOR POWER SYSTEM STABILITY ENHANCEMENT
title_sort investigation of neural-fuzzy control techniques for power system stability enhancement
publishDate 2020
url https://scholarbank.nus.edu.sg/handle/10635/172330
_version_ 1686108817386897408