POWER SYSTEM PLANNING USING ANN WITH FUZZY LOGIC AND WAVELET ANALYSIS

ICTACT Journal on Soft Computing ( Volume: 7 , Issue: 1 )

Abstract

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The electricity load required for the forthcoming years are predetermined by means of power system planning. Accuracy is the crucial factor that must be taken care of in the power system planning. Electricity is generally volatile, that is it changes and hence appropriate estimation must be done without leading to overestimation or underestimation. The aim of the project is to do appropriate power estimation with the help of the economic factors. The 9 input factors used are GDP, industry, imports, CO2 emission, exports, services, manufacturing, population, per capita consumption. The proposed methodology is done by means of Neural Network concept and Wavelet Analysis. Regression Analysis is also performed and the comparisons are done using Fuzzy Logic. The nonlinear model, Artificial Neural Network and the Wavelet Analysis are found to be more accurate and effective.

Authors

V. Dharma Dharshin, R. Rekha, R. Vidhyapriya
PSG College of Technology, India

Keywords

Power System Planning, Artificial Neural Networks, Regression Analysis, Fuzzy Logic, Wavelet Analysis

Published By
ICTACT
Published In
ICTACT Journal on Soft Computing
( Volume: 7 , Issue: 1 )
Date of Publication
October 2016
Pages
1319-1323

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