The week's pick
Reseach Article
Design of a Fuzzy Time Series Forecasting Model for Hydro Power Generation
by
Poornima Devi,
C Vijaya Lakshmi,
E. Sakthivel
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 74 - Number 16 |
| Year of Publication: 2013 |
| Authors: Poornima Devi, C Vijaya Lakshmi, E. Sakthivel |
10.5120/12966-7719
|
Poornima Devi, C Vijaya Lakshmi, E. Sakthivel . Design of a Fuzzy Time Series Forecasting Model for Hydro Power Generation. International Journal of Computer Applications. 74, 16 ( July 2013), 1-5. DOI=10.5120/12966-7719
@article{
10.5120/12966-7719,
author = {
Poornima Devi,
C Vijaya Lakshmi,
E. Sakthivel
},
title = { Design of a Fuzzy Time Series Forecasting Model for Hydro Power Generation },
journal = {
International Journal of Computer Applications
},
issue_date = { July 2013 },
volume = { 74 },
number = { 16 },
month = { July },
year = { 2013 },
issn = { 0975-8887 },
pages = {
1-5
},
numpages = {9},
url = {
https://ijcaonline.org/archives/volume74/number16/12966-7719/
},
doi = { 10.5120/12966-7719 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:42:26.088881+05:30
%A Poornima Devi
%A C Vijaya Lakshmi
%A E. Sakthivel
%T Design of a Fuzzy Time Series Forecasting Model for Hydro Power Generation
%J International Journal of Computer Applications
%@ 0975-8887
%V 74
%N 16
%P 1-5
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract
This paper mainly deals with the design of forecasting model for Hydro power generation using Fuzzy time series. The fuzzy time series has recently received an increasing attention because of its capability of dealing with vague and incomplete data. There have been a variety of models developed either to improve forecasting accuracy or reduce computation overhead. This technique has been applied to forecast various fields and have been shown to forecast better than other models. Hence, in this paper fuzzy time series forecasting technique has been applied on hydro power generation data set. An algorithm is designed and based on the numerical calculations and graphical representations it reveals that Hydro Power generation can be forecasted by using Fuzzy Time Series.
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Index Terms
Computer Science
Information Sciences
Keywords