Achieving Efficiency in Electricity Consumption using Improved Machine Learning Tools

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Bibliographic Details
Main Author: Ozoh, Patrick
Format: Thesis
Language:English
Published: Universiti Malaysia Sarawak, (UNIMAS) 2017
Subjects:
Online Access:http://ir.unimas.my/id/eprint/23882/1/Patrick%20Ozoh%20ft.pdf
http://ir.unimas.my/id/eprint/23882/
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spelling my.unimas.ir.238822023-06-20T06:44:51Z http://ir.unimas.my/id/eprint/23882/ Achieving Efficiency in Electricity Consumption using Improved Machine Learning Tools Ozoh, Patrick T Technology (General) Universiti Malaysia Sarawak, (UNIMAS) 2017 Thesis NonPeerReviewed text en http://ir.unimas.my/id/eprint/23882/1/Patrick%20Ozoh%20ft.pdf Ozoh, Patrick (2017) Achieving Efficiency in Electricity Consumption using Improved Machine Learning Tools. PhD thesis, Universiti Malaysia Sarawak.
institution Universiti Malaysia Sarawak
building Centre for Academic Information Services (CAIS)
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Sarawak
content_source UNIMAS Institutional Repository
url_provider http://ir.unimas.my/
language English
topic T Technology (General)
spellingShingle T Technology (General)
Ozoh, Patrick
Achieving Efficiency in Electricity Consumption using Improved Machine Learning Tools
format Thesis
author Ozoh, Patrick
author_facet Ozoh, Patrick
author_sort Ozoh, Patrick
title Achieving Efficiency in Electricity Consumption using Improved Machine Learning Tools
title_short Achieving Efficiency in Electricity Consumption using Improved Machine Learning Tools
title_full Achieving Efficiency in Electricity Consumption using Improved Machine Learning Tools
title_fullStr Achieving Efficiency in Electricity Consumption using Improved Machine Learning Tools
title_full_unstemmed Achieving Efficiency in Electricity Consumption using Improved Machine Learning Tools
title_sort achieving efficiency in electricity consumption using improved machine learning tools
publisher Universiti Malaysia Sarawak, (UNIMAS)
publishDate 2017
url http://ir.unimas.my/id/eprint/23882/1/Patrick%20Ozoh%20ft.pdf
http://ir.unimas.my/id/eprint/23882/
_version_ 1769847638057811968
score 13.214268