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Dragonfly Optimization based ANN Model for Forecasting India's Primary Fuels' Demand

by J. Kumaran, J. Sasikala
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 164 - Number 7
Year of Publication: 2017
Authors: J. Kumaran, J. Sasikala
10.5120/ijca2017913636

J. Kumaran, J. Sasikala . Dragonfly Optimization based ANN Model for Forecasting India's Primary Fuels' Demand. International Journal of Computer Applications. 164, 7 ( Apr 2017), 18-22. DOI=10.5120/ijca2017913636

@article{ 10.5120/ijca2017913636,
author = { J. Kumaran, J. Sasikala },
title = { Dragonfly Optimization based ANN Model for Forecasting India's Primary Fuels' Demand },
journal = { International Journal of Computer Applications },
issue_date = { Apr 2017 },
volume = { 164 },
number = { 7 },
month = { Apr },
year = { 2017 },
issn = { 0975-8887 },
pages = { 18-22 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume164/number7/27496-2017913636/ },
doi = { 10.5120/ijca2017913636 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:10:40.855846+05:30
%A J. Kumaran
%A J. Sasikala
%T Dragonfly Optimization based ANN Model for Forecasting India's Primary Fuels' Demand
%J International Journal of Computer Applications
%@ 0975-8887
%V 164
%N 7
%P 18-22
%D 2017
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper presents a dragonfly optimization (DFO) based ANN model for predicting India's primary fuel demand. It involves socio-economic indicators such as population and per capita GDP and uses two ANNs, which are trained through DFO algorithm. The method optimizes the connection weights of ANN models through effectively searching the problem space in finding the global best solution. Primary fuel demands during the years 1990-2012 forms the data for training and validating the model. The proposed model requires an input, the year of the forecast, and predicts the primary fuels' demand. The forecasts up to the year 2025 are compared with that of the RM with a view to illustrate the accuracy.

References
  1. Assareh.E, Behrang.M.A, Assareh.R, Hedayat.N. (2011). Global Electricity Consumption Estimation Using Particle Swarm Optimization (PSO), World Academy of Science, Engineering and Technology, 55: 200-204.
  2. Energy Statistics available at www.mospi.gov.in
  3. Brown. R.G. (1963). Smoothing, Forecasting and Predictions, Prentice-Hall, Englewood Cliffs, NI.
  4. Shiskin. J. (1957). Electronic computers and business indicators, National bureau of economic research, occasional paper no. 56.
  5. Shiskin. J. (1961). Tests and revisions of bureau of the census methods of seasonal adjustments, Bureau of the Census, Technical paper no. 5
  6. Armstrong. J.S. (1978). Forecasting with econometric methods: Folklore versus Facts, Journal of Business, S1: 549-600.
  7. Box. G.E.P and Jenkins.G.M. (1976). Time series analysis: forecasting and control, rev. ed., Holden-Day, San Francisco.
  8. Seyedali Mirjalili. (2015). Dragonfly algorithm: A new meta-heuristic optimization technique for solving single-objective, discrete and multi-objective problems, Neural Comput and Applic. DOI. 10.1007/s00521-015-1920-1.
  9. Rakoth Kandan Sambandam, Sasikala Jayaraman. (2016). Self-Adaptive Dragonfly Based Optimal Thresholding for Multilevel Segmentation of Digital Images, Journal of King Saud University - Computer and Information Sciences, DOI: http://dx.doi.org/10.1016/j.jksuci.2016.11.002.
  10. Jayaraman Kumraran, Govindasamy Ravi. (2015). Long-term Sector-wise Electrical Energy Forecasting Using Artificial Neural Network and Biogeography-based Optimization, Electric Power Components and Systems, 43(11): http://dx.doi.org/10.1080/15325008.2015.1028115.
  11. Data for per capita GDP available at http://www.indexmundi.com/india/gdp_per_capita_ (ppt).html
  12. Data for population available at http://www.populstat.info/Asia/indiac.htm
Index Terms

Computer Science
Information Sciences

Keywords

artificial neural network dragonfly optimization regression model.

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