Electric Load Forecasting using a Neural Network Approach
||International Journal of Computer Trends and Technology (IJCTT)||
|© 2014 by IJCTT Journal|
|Year of Publication : 2014|
|Authors : Vinutha H D , K C Gouda , Chandan K N|
|DOI : 10.14445/22312803/IJCTT-V11P152|
Vinutha H D , K C Gouda , Chandan K N."Electric Load Forecasting using a Neural Network Approach". International Journal of Computer Trends and Technology (IJCTT) V11(6):245-249, May 2014. ISSN:2231-2803. www.ijcttjournal.org. Published by Seventh Sense Research Group.
The electric Power industry is currently undergoing an unprecedented reform. One of the most exciting and potential benefit of recent developments is increasing usage of artificial intelligence techniques. The intention of this paper is to give an overview as well as the techniques for the Short term load forecasting using the weather parameter like rainfall and implementing a neural network techniques in the power systems. This prediction shows a combined approach of predicted rainfall and the ANN will help for the better forecasting of electric load at city scale.
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