Self - Organizing Maps Based Hybrid Approaches to Short Term Load Forecasting

Master's

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Bibliographic Details
Main Author:	VINEET YADAV
Other Authors:	ELECTRICAL & COMPUTER ENGINEERING
Format:	Theses and Dissertations
Language:	English
Published:	2010
Subjects:	self organizing maps, short term load forecasting, hybrid linear neural model
Online Access:	http://scholarbank.nus.edu.sg/handle/10635/18611
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Institution:	National University of Singapore
Language:	English

id	sg-nus-scholar.10635-18611
record_format	dspace
spelling	sg-nus-scholar.10635-186112017-10-21T07:55:53Z Self - Organizing Maps Based Hybrid Approaches to Short Term Load Forecasting VINEET YADAV ELECTRICAL & COMPUTER ENGINEERING SRINIVASAN, DIPTI self organizing maps, short term load forecasting, hybrid linear neural model Master's MASTER OF ENGINEERING 2010-11-30T18:00:21Z 2010-11-30T18:00:21Z 2010-05-25 Thesis VINEET YADAV (2010-05-25). Self - Organizing Maps Based Hybrid Approaches to Short Term Load Forecasting. ScholarBank@NUS Repository. http://scholarbank.nus.edu.sg/handle/10635/18611 NOT_IN_WOS en
institution	National University of Singapore
building	NUS Library
country	Singapore
collection	ScholarBank@NUS
language	English
topic	self organizing maps, short term load forecasting, hybrid linear neural model
spellingShingle	self organizing maps, short term load forecasting, hybrid linear neural model VINEET YADAV Self - Organizing Maps Based Hybrid Approaches to Short Term Load Forecasting
description	Master's
author2	ELECTRICAL & COMPUTER ENGINEERING
author_facet	ELECTRICAL & COMPUTER ENGINEERING VINEET YADAV
format	Theses and Dissertations
author	VINEET YADAV
author_sort	VINEET YADAV
title	Self - Organizing Maps Based Hybrid Approaches to Short Term Load Forecasting
title_short	Self - Organizing Maps Based Hybrid Approaches to Short Term Load Forecasting
title_full	Self - Organizing Maps Based Hybrid Approaches to Short Term Load Forecasting
title_fullStr	Self - Organizing Maps Based Hybrid Approaches to Short Term Load Forecasting
title_full_unstemmed	Self - Organizing Maps Based Hybrid Approaches to Short Term Load Forecasting
title_sort	self - organizing maps based hybrid approaches to short term load forecasting
publishDate	2010
url	http://scholarbank.nus.edu.sg/handle/10635/18611
_version_	1681079558636306432

Self - Organizing Maps Based Hybrid Approaches to Short Term Load Forecasting

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