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Peak load forecast via neural network / Abu Khir Abdul Hamid

This thesis presents a new signal processing technique calted aruficial neural networkfANN) to peak load forecast based on short term basis. The uncertain elements such as weather conditions, holiday's effect, and historica! load is taken into account. Experiments were canied out to choose the...

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Main Author: Abdul Hamid, Abu Khir
Format: Thesis
Language:English
Published: 1996
Online Access:https://ir.uitm.edu.my/id/eprint/100136/1/100136.pdf
https://ir.uitm.edu.my/id/eprint/100136/
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id my.uitm.ir.100136
record_format eprints
spelling my.uitm.ir.1001362024-08-19T17:18:20Z https://ir.uitm.edu.my/id/eprint/100136/ Peak load forecast via neural network / Abu Khir Abdul Hamid Abdul Hamid, Abu Khir This thesis presents a new signal processing technique calted aruficial neural networkfANN) to peak load forecast based on short term basis. The uncertain elements such as weather conditions, holiday's effect, and historica! load is taken into account. Experiments were canied out to choose the most suitable ANN model for peak load forecasting. The resuits acquired through the experiments shows that the proposed methodologies produce accurate peak load prediction under a wide variety of power systems operating conditions. 1996 Thesis NonPeerReviewed text en https://ir.uitm.edu.my/id/eprint/100136/1/100136.pdf Peak load forecast via neural network / Abu Khir Abdul Hamid. (1996) Degree thesis, thesis, Universiti Teknologi MARA (UiTM).
institution Universiti Teknologi Mara
building Tun Abdul Razak Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Mara
content_source UiTM Institutional Repository
url_provider http://ir.uitm.edu.my/
language English
description This thesis presents a new signal processing technique calted aruficial neural networkfANN) to peak load forecast based on short term basis. The uncertain elements such as weather conditions, holiday's effect, and historica! load is taken into account. Experiments were canied out to choose the most suitable ANN model for peak load forecasting. The resuits acquired through the experiments shows that the proposed methodologies produce accurate peak load prediction under a wide variety of power systems operating conditions.
format Thesis
author Abdul Hamid, Abu Khir
spellingShingle Abdul Hamid, Abu Khir
Peak load forecast via neural network / Abu Khir Abdul Hamid
author_facet Abdul Hamid, Abu Khir
author_sort Abdul Hamid, Abu Khir
title Peak load forecast via neural network / Abu Khir Abdul Hamid
title_short Peak load forecast via neural network / Abu Khir Abdul Hamid
title_full Peak load forecast via neural network / Abu Khir Abdul Hamid
title_fullStr Peak load forecast via neural network / Abu Khir Abdul Hamid
title_full_unstemmed Peak load forecast via neural network / Abu Khir Abdul Hamid
title_sort peak load forecast via neural network / abu khir abdul hamid
publishDate 1996
url https://ir.uitm.edu.my/id/eprint/100136/1/100136.pdf
https://ir.uitm.edu.my/id/eprint/100136/
_version_ 1808976090716176384
score 13.211869

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