#TITLE_ALTERNATIVE#

#TITLE_ALTERNATIVE#

<b></i>Abstract:</b><i><p align="justify"><br />This thesis applies Adaptive neuro-fuzzy method to evaluate peak load estimatiom of short-term at PT. PLN (Persero) UPB 150kV-70 kV Cigelereng Bandung West Java. The simulation was done by comparing four ki...

Full description

Saved in:
Bibliographic Details
Main Author: Tandi Seno<br>NIM. 23299516, Titus
Format: Theses
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/6846
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Institut Teknologi Bandung
Language: Indonesia
id id-itb.:6846
spelling id-itb.:68462007-03-26T11:43:00Z#TITLE_ALTERNATIVE# Tandi Seno<br>NIM. 23299516, Titus Indonesia Theses INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/6846 <b></i>Abstract:</b><i><p align="justify"><br />This thesis applies Adaptive neuro-fuzzy method to evaluate peak load estimatiom of short-term at PT. PLN (Persero) UPB 150kV-70 kV Cigelereng Bandung West Java. The simulation was done by comparing four kinds of training data. i. e., 6 months, 12 months, 18 months and 24 months. The best results of the four of data training will be compared to statistic method, which are regression analysis, and average method. MATLAB version 5.31 and Microsoft Exceel do the software of this estimation. The final result shown that peak load estimation with applies adaptive neuro-fuzzy method for 12 months data set training give the best estimation result.<br /><br /> text
institution Institut Teknologi Bandung
building Institut Teknologi Bandung Library
continent Asia
country Indonesia
Indonesia
content_provider Institut Teknologi Bandung
collection Digital ITB
language Indonesia
description <b></i>Abstract:</b><i><p align="justify"><br />This thesis applies Adaptive neuro-fuzzy method to evaluate peak load estimatiom of short-term at PT. PLN (Persero) UPB 150kV-70 kV Cigelereng Bandung West Java. The simulation was done by comparing four kinds of training data. i. e., 6 months, 12 months, 18 months and 24 months. The best results of the four of data training will be compared to statistic method, which are regression analysis, and average method. MATLAB version 5.31 and Microsoft Exceel do the software of this estimation. The final result shown that peak load estimation with applies adaptive neuro-fuzzy method for 12 months data set training give the best estimation result.<br /><br />
format Theses
author Tandi Seno<br>NIM. 23299516, Titus
spellingShingle Tandi Seno<br>NIM. 23299516, Titus
#TITLE_ALTERNATIVE#
author_facet Tandi Seno<br>NIM. 23299516, Titus
author_sort Tandi Seno<br>NIM. 23299516, Titus
title #TITLE_ALTERNATIVE#
title_short #TITLE_ALTERNATIVE#
title_full #TITLE_ALTERNATIVE#
title_fullStr #TITLE_ALTERNATIVE#
title_full_unstemmed #TITLE_ALTERNATIVE#
title_sort #title_alternative#
url https://digilib.itb.ac.id/gdl/view/6846
_version_ 1820663988946468864

Similar Items