We apologize for a recent technical issue with our email system, which temporarily affected account activations. Accounts have now been activated. Authors may proceed with paper submissions. PhDFocusTM
CFP last date
20 December 2024
Call for Paper
January Edition
IJCA solicits high quality original research papers for the upcoming January edition of the journal. The last date of research paper submission is 20 December 2024

Submit your paper
Know more
The week's pick
Responsive image
Improved Shuffled Frog Leaping Algorithm with Self-Adaptive Shuffling for Fuzzy Logic PD+G Controller Optimization in Robotic Manipulators

Duc Hoang Nguyen
Random Articles
Reseach Article

Impact of Trend and Seasonality in Forecasting of 5 MW PV Plant Generation using Single Exponential Smoothing Method

by Vikas Pratap Singh, Vivek Vijay, B. Ravindra, M. Siddhartha Bhatt
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 130 - Number 1
Year of Publication: 2015
Authors: Vikas Pratap Singh, Vivek Vijay, B. Ravindra, M. Siddhartha Bhatt
10.5120/ijca2015906840

Vikas Pratap Singh, Vivek Vijay, B. Ravindra, M. Siddhartha Bhatt . Impact of Trend and Seasonality in Forecasting of 5 MW PV Plant Generation using Single Exponential Smoothing Method. International Journal of Computer Applications. 130, 1 ( November 2015), 5-9. DOI=10.5120/ijca2015906840

@article{ 10.5120/ijca2015906840,
author = { Vikas Pratap Singh, Vivek Vijay, B. Ravindra, M. Siddhartha Bhatt },
title = { Impact of Trend and Seasonality in Forecasting of 5 MW PV Plant Generation using Single Exponential Smoothing Method },
journal = { International Journal of Computer Applications },
issue_date = { November 2015 },
volume = { 130 },
number = { 1 },
month = { November },
year = { 2015 },
issn = { 0975-8887 },
pages = { 5-9 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume130/number1/23171-2015906840/ },
doi = { 10.5120/ijca2015906840 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:23:50.577911+05:30
%A Vikas Pratap Singh
%A Vivek Vijay
%A B. Ravindra
%A M. Siddhartha Bhatt
%T Impact of Trend and Seasonality in Forecasting of 5 MW PV Plant Generation using Single Exponential Smoothing Method
%J International Journal of Computer Applications
%@ 0975-8887
%V 130
%N 1
%P 5-9
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In 21st century forecasting of solar power generation is an important issue due to grid integration. In these days power shading and heavy load is a major problem in front of conventional power generation sources so grid integration is plays an important role to fill the gap in between demand and supply of power generation. So solar power and conventional power are basic sources of grid integration. Solar power is playing a key role in grid integration. In this work, Solar power generation forecasting is carried out based on the data collected from a 5MW Gujarat Power Cooperation limited solar photovoltaic power plant which is installed in Charanka, Gujarat. In this paper we discussed about the single exponential smoothing for solar power forecasting problem and impact of trend and seasonality on modelling of power generation forecasting.

References
  1. Ostertagova, e. – Ostertag, o.: 2011 “ The Simple Exponential Smoothing Model”, Proceedings of the 4th International Conference on Modelling of Mechanical and Mechatronic Systems, Technical University of Kosice, Slovak Republic, 380–384,.
  2. Brown, r. g., Meyer, R. F. 1961, “The fundamental theory of exponential smoothing, Operations Research”, 9, p. 673-685.
  3. Montgomery, D. C., Johnson, L. A., Gardiner, J. S. 1990, Forecasting and Time Series Analysis, McGraw-Hill, Inc., , ISBN 0-07-042858-1
  4. Gardner, E.S., Jr. 1985, “Exponential Smoothing: the State of the Art,” Journal of Forecasting, 4, 1-38.
  5. Chatfield, C. (1978), “The Holt-Winters Forecasting Procedure,” Applied Statistics, 27, 264-279.
Index Terms

Computer Science
Information Sciences

Keywords

Solar Power Forecasting Single Exponential Smoothing

Powered by PhDFocusTM