International Journal of Emerging Trends & Technology in Computer Science
A Motivation for Recent Innovation & Research
ISSN 2278-6856
www.ijettcs.org
Call for Paper, Published Articles, Indexing Infromation
Title: |
Analyzing Electricity Consumption Behavior Of Households Using Big Data Analytics
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Author Name: |
B. Mohan Krishna, K. Bala Chowdappa |
Abstract: |
Abstract
In a competitive retail market is looking to analyze their
customer each and every power usagedata into a smart meters
that provide lots of opportunity for power board to gain more
knowledge on customer’s power usage in a large volumes of
smart grids meters data. There are a lot of analytical solutions
to provide the power usage of households but these solutions are
not provided that power of utilization there is a lot of need for
analyzing power usage of households data analytics, which
includes the relation with type of power usage(laundry, kitchen,
heaters and AC etc).The system proposes in finding the power
usage by implementing levels of clustering algorithms that fits
the best models to locate the households of power usage in
varioussituation and areas. The proposed methods find the
various power expenditure behaviors like day type, time and
season in a large data set.
Keywords:Big Data, Power usage, Analyzing household
data, Smart meters, Data Analytics, Day type, Season and
Sub meters |
Cite this article: |
B. Mohan Krishna, K. Bala Chowdappa , "
Analyzing Electricity Consumption Behavior Of Households Using Big Data Analytics " , International Journal of Emerging Trends & Technology in Computer Science (IJETTCS),
Volume 6, Issue 5, September - October 2017 , pp.
018-022 , ISSN 2278-6856.
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