• S. Elakshumi
• A. Ponraj

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.

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

"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

"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