Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/224894
Title: Smart grid based residential energy Management using soft computing Techniques
Researcher: Amutha venkatessh
Guide(s): Jayashree L S
Keywords: energy Management
Engineering and Technology,Computer Science,Computer Science Software Engineering
Smart grid
University: Anna University
Completed Date: 01/03/2018
Abstract: Electricity is mainly consumed by industrial commercial and residential newlinesectors from which the residential sector is expected to play a vital role in the newlineemerging smart grid framework Residential electricity demand is highly newlinevolatile in nature and is one of the key contributors of any countrys energy newlinepolicy It is therefore critical to understand the current status and future newlinescenarios of demand for electricity at household level for optimal electricity newlinegeneration infrastructure planning and pricing policyElectricity demand studies have been used for numerous reasons over the newlinepast four decades Understanding of the energy demand pattern helps the newlineutilities to adjust generation levels as per the actual demands estimated newlineResidential sector is expected to play a key role in smart grid framework as it is newlinecurrently one of the main contributors of any countrys energy balance newlineEuropean Commission EU Energy in Figures, Statistical Pocketbook newlineEuropean Commission Brussels Belgium 2012 newline newline
Pagination: xviii, 122p.
URI: http://hdl.handle.net/10603/224894
Appears in Departments:Faculty of Information and Communication Engineering

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01_title.pdfAttached File44.73 kBAdobe PDFView/Open
02_certificate.pdf46.86 kBAdobe PDFView/Open
03_abstract.pdf70.9 kBAdobe PDFView/Open
04_acknowledgement.pdf9.08 kBAdobe PDFView/Open
05_contents.pdf108.08 kBAdobe PDFView/Open
06_chapter 1.pdf267.08 kBAdobe PDFView/Open
07_chapter 2.pdf113.5 kBAdobe PDFView/Open
08_chapter 3.pdf356.28 kBAdobe PDFView/Open
09_chapter 4.pdf515.69 kBAdobe PDFView/Open
10_chapter 5.pdf176.61 kBAdobe PDFView/Open
11_chapter 6.pdf39.12 kBAdobe PDFView/Open
12_references.pdf80.75 kBAdobe PDFView/Open
13_publications.pdf71.02 kBAdobe PDFView/Open


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