International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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Volume 51 - Issue 13 |
Published: August 2012 |
Authors: Prasanta Kumar Pany, S. P. Ghoshal |
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Prasanta Kumar Pany, S. P. Ghoshal . Application of Local Linear Wavelet Neural Network in Short Term Electric Load Forecasting. International Journal of Computer Applications. 51, 13 (August 2012), 38-43. DOI=10.5120/8105-1703
@article{ 10.5120/8105-1703, author = { Prasanta Kumar Pany,S. P. Ghoshal }, title = { Application of Local Linear Wavelet Neural Network in Short Term Electric Load Forecasting }, journal = { International Journal of Computer Applications }, year = { 2012 }, volume = { 51 }, number = { 13 }, pages = { 38-43 }, doi = { 10.5120/8105-1703 }, publisher = { Foundation of Computer Science (FCS), NY, USA } }
%0 Journal Article %D 2012 %A Prasanta Kumar Pany %A S. P. Ghoshal %T Application of Local Linear Wavelet Neural Network in Short Term Electric Load Forecasting%T %J International Journal of Computer Applications %V 51 %N 13 %P 38-43 %R 10.5120/8105-1703 %I Foundation of Computer Science (FCS), NY, USA
The electrical deregulated market increases the need for short-term load forecast algorithms in order to assists electrical utilities in activities such as planning , operating and controlling electric energy systems. Methodologies based on regression methods have been widely used with satisfactory results. However, this type of approach has some shortcomings. This paper proposes a short- term load forecast methodology based on Artificial Intelligence techniques. The work presented in this paper makes use of local linear wavelet neural networks (LLWNN) to find the electric load for a given period, with a certain confidence level.