TELKOMNIKA Telecommunication, Computing, Electronics and Control
Application of big data for distribution and consumption of power
Dublin Core
Title
TELKOMNIKA Telecommunication, Computing, Electronics and Control
Application of big data for distribution and consumption of power
Application of big data for distribution and consumption of power
Subject
Analytics
Big data
Electricity
Energy
Power consumption
Big data
Electricity
Energy
Power consumption
Description
The exponentially growing and tremendous collection of data stored in the
power sector, combined with the need for data analysis, has produced an
urgent need for powerful tools to extract hidden data as to effectively
distribute the power for proper consumption for the household. This research
work was embarked on to show the business value of big data analytics in
Energy and utilities with a focus on how analytics can help solve problems of
inefficiency and wastages in electricity generation, production and
distribution and how raw energy datasets can be converted into insights that
can be used by energy policy makers to make major business decisions. To
explicitly show how raw data can be turned into insights, the study deploys
the use of the Hadoop on Hortonworks’ open-source apache-Hive licensed
data warehousing framework run on a windows operating system to turn raw
datasets (in excel formats converted to .csv format) gotten from the prepaid
meters of 196,000 consumers (households and businesses) in 11 business
units of Ikeja Electricity Distribution Company (IKEDC, Nigeria) to analyze
the distribution and consumption of power.
power sector, combined with the need for data analysis, has produced an
urgent need for powerful tools to extract hidden data as to effectively
distribute the power for proper consumption for the household. This research
work was embarked on to show the business value of big data analytics in
Energy and utilities with a focus on how analytics can help solve problems of
inefficiency and wastages in electricity generation, production and
distribution and how raw energy datasets can be converted into insights that
can be used by energy policy makers to make major business decisions. To
explicitly show how raw data can be turned into insights, the study deploys
the use of the Hadoop on Hortonworks’ open-source apache-Hive licensed
data warehousing framework run on a windows operating system to turn raw
datasets (in excel formats converted to .csv format) gotten from the prepaid
meters of 196,000 consumers (households and businesses) in 11 business
units of Ikeja Electricity Distribution Company (IKEDC, Nigeria) to analyze
the distribution and consumption of power.
Creator
Olagunju Mukaila, Adeniyi Abidemi Emmanuel, Ogundokun Roseline Oluwaseun, Ojo Olufemi Samuel, Kolawole Paul Oluwatoba
Source
http://journal.uad.ac.id/index.php/TELKOMNIKA
Date
May 5, 2021
Contributor
peri irawan
Format
pdf
Language
english
Type
text
Files
Collection
Citation
Olagunju Mukaila, Adeniyi Abidemi Emmanuel, Ogundokun Roseline Oluwaseun, Ojo Olufemi Samuel, Kolawole Paul Oluwatoba, “TELKOMNIKA Telecommunication, Computing, Electronics and Control
Application of big data for distribution and consumption of power,” Repository Horizon University Indonesia, accessed November 13, 2024, https://repository.horizon.ac.id/items/show/3961.
Application of big data for distribution and consumption of power,” Repository Horizon University Indonesia, accessed November 13, 2024, https://repository.horizon.ac.id/items/show/3961.