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Reseach Article

Survey on Machine Learning based Electric Consumption Forecasting using Smart Meter Data

by Fikirte Zemene, Vijayshri Khedkar
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 180 - Number 6
Year of Publication: 2017
Authors: Fikirte Zemene, Vijayshri Khedkar
10.5120/ijca2017916052

Fikirte Zemene, Vijayshri Khedkar . Survey on Machine Learning based Electric Consumption Forecasting using Smart Meter Data. International Journal of Computer Applications. 180, 6 ( Dec 2017), 46-52. DOI=10.5120/ijca2017916052

@article{ 10.5120/ijca2017916052,
author = { Fikirte Zemene, Vijayshri Khedkar },
title = { Survey on Machine Learning based Electric Consumption Forecasting using Smart Meter Data },
journal = { International Journal of Computer Applications },
issue_date = { Dec 2017 },
volume = { 180 },
number = { 6 },
month = { Dec },
year = { 2017 },
issn = { 0975-8887 },
pages = { 46-52 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume180/number6/28808-2017916052/ },
doi = { 10.5120/ijca2017916052 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:59:57.460435+05:30
%A Fikirte Zemene
%A Vijayshri Khedkar
%T Survey on Machine Learning based Electric Consumption Forecasting using Smart Meter Data
%J International Journal of Computer Applications
%@ 0975-8887
%V 180
%N 6
%P 46-52
%D 2017
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The use of smart meter in electric power consumption plays great roll benefiting customer to control and manage their electric power usage. It creates smooth communication to build fair electric power distribution for customers and better management of whole electric system for suppliers. Machine learning predictive frameworks have been worked in order to utilize the electric energy assets effectively, productively and acknowledgment of advanced energy generation, circulation and utilization. This paper presents outline of research works identified with machine learning based forecasting of customers electric power utilization from smart meter data. The paper concentrates on exhaustive study of strategies and relative examination of classifier models utilized as a part of determining customer electric power consumption. Moreover, limitations, difficulties, points of interest and disadvantage of the past works identified with machine learning based methods determining of customers electric power consumption are over viewed.

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Index Terms

Computer Science
Information Sciences

Keywords

Smart Meter Machine Learning Data Analysis Electricity Forecasting Support Vector Machine Artificial Neural Networks.