#TITLE_ALTERNATIVE#

#TITLE_ALTERNATIVE#

This final project research gives a model for spatial electric load forecasting based on trending method. Division of the area into small area is done based on the village administrative boundaries. The loads in the small area are the total load of all distribution transformers that are placed in th...

Full description

Saved in:
Bibliographic Details
Main Author: ASI S. (NIM 13205206); Pembimbing: Prof. Dr. Ir. Ngapuli I. Sinisuka, ARIONMARO
Format: Final Project
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/13294
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Institut Teknologi Bandung
Language: Indonesia
id id-itb.:13294
spelling id-itb.:132942017-09-27T10:18:47Z#TITLE_ALTERNATIVE# ASI S. (NIM 13205206); Pembimbing: Prof. Dr. Ir. Ngapuli I. Sinisuka, ARIONMARO Indonesia Final Project INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/13294 This final project research gives a model for spatial electric load forecasting based on trending method. Division of the area into small area is done based on the village administrative boundaries. The loads in the small area are the total load of all distribution transformers that are placed in the area. The load of an individual transformer are determined from the kWh sales of the distribution transformer. The horizon year load are estimated by dividing all the area into classes with same load density. The future load forecasts are done with regression method and the five year ahead peak load are extrapolated. Load forecast for the area with no load histories are done with vacant area inference (VAI) method. 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 This final project research gives a model for spatial electric load forecasting based on trending method. Division of the area into small area is done based on the village administrative boundaries. The loads in the small area are the total load of all distribution transformers that are placed in the area. The load of an individual transformer are determined from the kWh sales of the distribution transformer. The horizon year load are estimated by dividing all the area into classes with same load density. The future load forecasts are done with regression method and the five year ahead peak load are extrapolated. Load forecast for the area with no load histories are done with vacant area inference (VAI) method.
format Final Project
author ASI S. (NIM 13205206); Pembimbing: Prof. Dr. Ir. Ngapuli I. Sinisuka, ARIONMARO
spellingShingle ASI S. (NIM 13205206); Pembimbing: Prof. Dr. Ir. Ngapuli I. Sinisuka, ARIONMARO
#TITLE_ALTERNATIVE#
author_facet ASI S. (NIM 13205206); Pembimbing: Prof. Dr. Ir. Ngapuli I. Sinisuka, ARIONMARO
author_sort ASI S. (NIM 13205206); Pembimbing: Prof. Dr. Ir. Ngapuli I. Sinisuka, ARIONMARO
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/13294
_version_ 1820736143244656640

Similar Items

  • #TITLE_ALTERNATIVE#
    by: GEDE ALFIANZEN (NIM : 13204039); Pembimbing : Prof. DR. Ir. Ngapuli Irmea Sinisuka, I
  • #TITLE_ALTERNATIVE#
    by: MARTIN HUTAPEA (NIM : 13204201); Pembimbing : Prof. Dr. Ir. Ngapuli Irmea Sinisuka, PHILIP
  • #TITLE_ALTERNATIVE#
    by: NGURAH SATRIYADI H. (NIM 23298033); Pembimbing : Ngapuli Irmea Sinisuka, Dr. Ir., I.G.
  • #TITLE_ALTERNATIVE#
    by: AJI WIBOWO (NIM : 13100061); Pembimbing I : Prof. Dr. Ir. Mardjono S; Pembimbing II : Dr. , BHASKORO
  • #TITLE_ALTERNATIVE#
    by: SYUFYAN (NIM 12206087); Pembimbing: Pembimbing: Prof. Dr. Ir. Doddy Abdassah, HIDAYATUS