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

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Main Author: Mohamed, Norizan
Format: Thesis
Published: 2011
Subjects:
QA Mathematics
Online Access:http://eprints.utm.my/id/eprint/17969/
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id my.utm.17969
record_format eprints
spelling my.utm.179692012-09-03T10:05:46Z http://eprints.utm.my/id/eprint/17969/ Parametric and artificial intelligence based methods for forecasting short term electricity load demand Mohamed, Norizan QA Mathematics 2011 Thesis NonPeerReviewed Mohamed, Norizan (2011) Parametric and artificial intelligence based methods for forecasting short term electricity load demand. PhD thesis, Universiti Teknologi Malaysia, Faculty of Science.
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic QA Mathematics
spellingShingle QA Mathematics
Mohamed, Norizan
Parametric and artificial intelligence based methods for forecasting short term electricity load demand
format Thesis
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
publishDate 2011
url http://eprints.utm.my/id/eprint/17969/
_version_ 1643646761054502912
score 13.209306

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