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Load forecasting is vitally important for the electric industry in deregulated economy. It has many aplications including energy purchasing and generation, contract evaluation, and infrastructure development. This final project research gives a model for spatial electric load forecasting based on re...

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Main Author: MARTIN HUTAPEA (NIM : 13204201); Pembimbing : Prof. Dr. Ir. Ngapuli Irmea Sinisuka, PHILIP
Format: Final Project
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/16820
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Institution: Institut Teknologi Bandung
Language: Indonesia
id id-itb.:16820
spelling id-itb.:168202017-09-27T10:18:34Z#TITLE_ALTERNATIVE# MARTIN HUTAPEA (NIM : 13204201); Pembimbing : Prof. Dr. Ir. Ngapuli Irmea Sinisuka, PHILIP Indonesia Final Project INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/16820 Load forecasting is vitally important for the electric industry in deregulated economy. It has many aplications including energy purchasing and generation, contract evaluation, and infrastructure development. This final project research gives a model for spatial electric load forecasting based on regression method. Division of the area into small areas is done based on clustering with hierarchy technic. The loads in the small area are the total load of all distribution transformers that are placed in the area. The future load forecasts are done with regression. The transformer management analysis is done as an ilustration to the aplication of the load forecasting’s function in distribution system. The spatial load forecasting model are applicated and gives a fair good results. The model are able to give the information about the spread of the load geographically in the distribution system area for ten years ahead period. The accuracy of the model are appraised from the goodness of fit and give result for the mean percentage residual (MPR) = -0,3670%, and mean absolute percentage residual (MAPR) = 7,1555%. 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 Load forecasting is vitally important for the electric industry in deregulated economy. It has many aplications including energy purchasing and generation, contract evaluation, and infrastructure development. This final project research gives a model for spatial electric load forecasting based on regression method. Division of the area into small areas is done based on clustering with hierarchy technic. The loads in the small area are the total load of all distribution transformers that are placed in the area. The future load forecasts are done with regression. The transformer management analysis is done as an ilustration to the aplication of the load forecasting’s function in distribution system. The spatial load forecasting model are applicated and gives a fair good results. The model are able to give the information about the spread of the load geographically in the distribution system area for ten years ahead period. The accuracy of the model are appraised from the goodness of fit and give result for the mean percentage residual (MPR) = -0,3670%, and mean absolute percentage residual (MAPR) = 7,1555%.
format Final Project
author MARTIN HUTAPEA (NIM : 13204201); Pembimbing : Prof. Dr. Ir. Ngapuli Irmea Sinisuka, PHILIP
spellingShingle MARTIN HUTAPEA (NIM : 13204201); Pembimbing : Prof. Dr. Ir. Ngapuli Irmea Sinisuka, PHILIP
#TITLE_ALTERNATIVE#
author_facet MARTIN HUTAPEA (NIM : 13204201); Pembimbing : Prof. Dr. Ir. Ngapuli Irmea Sinisuka, PHILIP
author_sort MARTIN HUTAPEA (NIM : 13204201); Pembimbing : Prof. Dr. Ir. Ngapuli Irmea Sinisuka, PHILIP
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/16820
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