UGC Approved Journal no 63975

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 4 Issue 6
June-2017
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR1706007


Registration ID:
170415

Page Number

28-35

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Title

A Server Based Load Pattern Analysis Of SMART Meter Systems Using Internet-of-Things

Abstract

The electricity demand is increasing with the growth of population and with the use of different appliances in the households. So, there is a need for consumers to track their daily usage and understand the consumption patterns to save and control these resources. Smart meter along with Advanced Metering Infrastructure (AMI) is a pragmatic and efficient solution for this. This project aims at analyzing the performance of the proposed smart meter systems, efficient transmission and how utilities explore new developments for the benefit of consumers. The methodology followed to analyze the outcome is Power Line Communication(PLC) and Internet-of-Things. This is achieved by using PLC modems and Raspberry pi for remote monitoring and control of energy meters, as well as user friendly mobile App for consumers which is linked with utility server for constant updates. Smart grids collect large volumes of smart meter data in the form of time series or so-called load patterns. This project outlines the applications that benefit from analyzing this data and propose a load pattern clustering with prediction. The first stage is performed per individual user and identifies the various typical daily power usage patterns consumer exhibits. The second stage takes those typical user patterns as input, to group users that are similar. To improve scalability, fast wavelet transformation (FWT) of the time series data is used, which reduces the dimensionality of the feature space where the clustering algorithm operates in. The consumption patterns are studied and load analysis is made at the server side so that this can help in maintaining other systems associated with energy management.

Key Words

Smart Meter, Smart Grid Advanced Metering Infrastructure (AMI), Power line communication (PLC), Raspberry pi, Internet-of-Things(IoT), Load Pattern Clustering, Wavelet Features.

Cite This Article

"A Server Based Load Pattern Analysis Of SMART Meter Systems Using Internet-of-Things", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.4, Issue 6, page no.28-35, June-2017, Available :http://www.jetir.org/papers/JETIR1706007.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"A Server Based Load Pattern Analysis Of SMART Meter Systems Using Internet-of-Things", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.4, Issue 6, page no. pp28-35, June-2017, Available at : http://www.jetir.org/papers/JETIR1706007.pdf

Publication Details

Published Paper ID: JETIR1706007
Registration ID: 170415
Published In: Volume 4 | Issue 6 | Year June-2017
DOI (Digital Object Identifier):
Page No: 28-35
Country: Chennai, TAMIL NADU, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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