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Electricity load forecasting based on artificial intelligence techniques

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Main Author: Joshani, Majid
Format: Thesis
Published: 2010
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://eprints.utm.my/id/eprint/26718/
http://libraryopac.utm.my/client/en_AU/main/search/results?qu=Electricity+load+forecasting+based+on+artificial+intelligence+techniques&te=
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id my.utm.26718
record_format eprints
spelling my.utm.267182017-07-06T01:02:55Z http://eprints.utm.my/id/eprint/26718/ Electricity load forecasting based on artificial intelligence techniques Joshani, Majid TK Electrical engineering. Electronics Nuclear engineering 2010 Thesis NonPeerReviewed Joshani, Majid (2010) Electricity load forecasting based on artificial intelligence techniques. Masters thesis, Universiti Teknologi Malaysia, Faculty of Electrical Engineering. http://libraryopac.utm.my/client/en_AU/main/search/results?qu=Electricity+load+forecasting+based+on+artificial+intelligence+techniques&te=
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 TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Joshani, Majid
Electricity load forecasting based on artificial intelligence techniques
format Thesis
author Joshani, Majid
author_facet Joshani, Majid
author_sort Joshani, Majid
title Electricity load forecasting based on artificial intelligence techniques
title_short Electricity load forecasting based on artificial intelligence techniques
title_full Electricity load forecasting based on artificial intelligence techniques
title_fullStr Electricity load forecasting based on artificial intelligence techniques
title_full_unstemmed Electricity load forecasting based on artificial intelligence techniques
title_sort electricity load forecasting based on artificial intelligence techniques
publishDate 2010
url http://eprints.utm.my/id/eprint/26718/
http://libraryopac.utm.my/client/en_AU/main/search/results?qu=Electricity+load+forecasting+based+on+artificial+intelligence+techniques&te=
_version_ 1643647838730584064
score 13.18916

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