CFP last date
20 January 2025
Call for Paper
February Edition
IJCA solicits high quality original research papers for the upcoming February edition of the journal. The last date of research paper submission is 20 January 2025

Submit your paper
Know more
The week's pick
Responsive image
SFLA-Based Line Balancing and Task Optimization in Master-Slave Controlled Hanger Transportation Systems for Garment Production

Duc Hoang Nguyen
Random Articles
Reseach Article

Big Data Analysis is used in Renewable Energy Power Generation

by Priya Shukla
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 174 - Number 2
Year of Publication: 2017
Authors: Priya Shukla
10.5120/ijca2017915333

Priya Shukla . Big Data Analysis is used in Renewable Energy Power Generation. International Journal of Computer Applications. 174, 2 ( Sep 2017), 37-39. DOI=10.5120/ijca2017915333

@article{ 10.5120/ijca2017915333,
author = { Priya Shukla },
title = { Big Data Analysis is used in Renewable Energy Power Generation },
journal = { International Journal of Computer Applications },
issue_date = { Sep 2017 },
volume = { 174 },
number = { 2 },
month = { Sep },
year = { 2017 },
issn = { 0975-8887 },
pages = { 37-39 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume174/number2/28383-2017915333/ },
doi = { 10.5120/ijca2017915333 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:21:08.129747+05:30
%A Priya Shukla
%T Big Data Analysis is used in Renewable Energy Power Generation
%J International Journal of Computer Applications
%@ 0975-8887
%V 174
%N 2
%P 37-39
%D 2017
%I Foundation of Computer Science (FCS), NY, USA
Abstract

As per new technology big data analytic is playing vital role in all areas such as power industry, IT industry and many more. Now day’s big data is also giving a proper backup in power industry. In this industry renewal energy data is mainly used to evaluate the system performance which can be accurately evaluated with the help of big data analysis. The renewal energy is the intermittent power source which cannot be used independently to generate the power and its supply to the load. The integration of renewal energy source like solar or wind with power plant can overcome the load on existing power plant. In this paper we have proposed the new data collection technique for utilizing and managing the renewal energy and its integration with the power plant. Paper is also focusing on areas like energy monitoring, event management, fault management, MIS report generate by using concept Hadoop and big data analysis.

References
  1. Role of Data Analysis in the Development of Intelligent Energy Networks & application.
  2. Tavel, P. 2007 Modeling and Simulation Design. AK Peters Ltd.
  3. Jacques Bughin et al. “Clouds, big data, and smart assets: Ten tech-enabled business trends to watch”. McKinsey Quarterly August 2010. http://www.itglobal-services.de/files/100810_McK_Clouds_big_data_and%20smart%20assets.pdf
  4. October 2012 - Solar Energy: Clean Source of Electricity for the Planet [online] http://www.icsusa.org/pages/articles/2012-icsusa-articles/october-2012---solar-energy-clean-source-of-electricity-for-the-planet.php#.WYyUv2eNzIU.
Index Terms

Computer Science
Information Sciences

Keywords

Big data analysis application in renewable energy power generation.

Powered by PhDFocusTM