DocumentCode
3574265
Title
Modeling and prediction of India´s electricity demand using fuzzy logic
Author
Saravanan, S. ; Kannan, S. ; Nithya, R. ; Thangaraj, C.
Author_Institution
EEE, Kalasalingam Univ., Krishnankoil, India
fYear
2014
Firstpage
93
Lastpage
96
Abstract
Forecasting of electricity demand is an important task for the planning and operation of power systems. The objective of this study is, to predict the electricity demand for India using Fuzzy Logic (FL). A set of 64 `if-then´ rules are used in accordance with FL method to develop an intelligent predicting model. Per capita GDP, population, import and export are taken as input variables and electricity demand is the predicted output. The output values are much closer to the actual values with minimum error. The results are validated using 18th power survey report.
Keywords
fuzzy logic; load forecasting; power system planning; FL method; India; electricity demand; fuzzy logic; gross domestic product; intelligent predicting model; per capita GDP; power survey report; power systems; Economic indicators; Electricity; Forecasting; Fuzzy logic; Predictive models; Sociology; Statistics; Fuzzy logic; GDP; India; imports; load forecasting; population; prediction;
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.2014.7054813
Filename
7054813
Link To Document