Parametric and artificial intelligence based methods for forecasting short term electricity load demand

Parametric and artificial intelligence based methods for forecasting short term electricity load demand

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Bibliographic Details
Main Author: Mohamed, Norizan
Format: Thesis
Published: 2011
Subjects:
QA Mathematics
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id my-utm-ep.17969
record_format uketd_dc
spelling my-utm-ep.179692012-09-03T10:05:46Z Parametric and artificial intelligence based methods for forecasting short term electricity load demand 2011 Mohamed, Norizan QA Mathematics 2011 Thesis http://eprints.utm.my/id/eprint/17969/ phd doctoral Universiti Teknologi Malaysia, Faculty of Science Faculty of Science
institution Universiti Teknologi Malaysia
collection UTM Institutional Repository
topic QA Mathematics
spellingShingle QA Mathematics
Mohamed, Norizan
Parametric and artificial intelligence based methods for forecasting short term electricity load demand
description
format Thesis
qualification_name Doctor of Philosophy (PhD.)
qualification_level Doctorate
author Mohamed, Norizan
author_facet Mohamed, Norizan
author_sort Mohamed, Norizan
title Parametric and artificial intelligence based methods for forecasting short term electricity load demand
title_short Parametric and artificial intelligence based methods for forecasting short term electricity load demand
title_full Parametric and artificial intelligence based methods for forecasting short term electricity load demand
title_fullStr Parametric and artificial intelligence based methods for forecasting short term electricity load demand
title_full_unstemmed Parametric and artificial intelligence based methods for forecasting short term electricity load demand
title_sort parametric and artificial intelligence based methods for forecasting short term electricity load demand
granting_institution Universiti Teknologi Malaysia, Faculty of Science
granting_department Faculty of Science
publishDate 2011
_version_ 1747815160993546240

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