DocumentCode
3574266
Title
India´s electricity demand estimation using Genetic Algorithm
Author
Saravanan, S. ; Kannan, S. ; Amosedinakaran, S. ; Thangaraj, C.
Author_Institution
Kalasalingam Univ., Krishnankoil, India
fYear
2014
Firstpage
97
Lastpage
101
Abstract
This study deals with estimation of electricity demand for India using Genetic Algorithm (GA) based on economic indicators. The economic indicators are population, per capita gross domestic product (GDP), import and export. The Genetic Algorithm-Electricity Demand (GA-ED) model is developed based on past data, and different scenarios (low, high growth and trend line) are used to predict electricity demand. Two forms of the GA-ED models are developed to estimate electricity demand. Mean Absolute Percentage Error (MAPE) is used as an evaluation criterion to choose the best-fit GA-ED model and it is used for future electricity demand prediction. The GA-ED results are compared with the prediction of 18th Electricity Power Survey of India. The GD-ED model estimates electricity demand until 2025.
Keywords
demand side management; economic indicators; genetic algorithms; GA-ED model; GDP; India; MAPE; economic indicators; electricity demand estimation; genetic algorithm-electricity demand model; gross domestic product; mean absolute percentage error; Economic indicators; Electricity; Estimation; Genetic algorithms; Market research; Sociology; Statistics; Electricity demand; India; future projection; genetic algorithm;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuit, Power and Computing Technologies (ICCPCT), 2014 International Conference on
Print_ISBN
978-1-4799-2395-3
Type
conf
DOI
10.1109/ICCPCT.2014.7054814
Filename
7054814
Link To Document