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Application of Local Linear Wavelet Neural Network in Short Term Electric Load Forecasting
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 51 - Number 13 |
| Year of Publication: 2012 |
| Authors: Prasanta Kumar Pany, S. P. Ghoshal |
10.5120/8105-1703
|
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
Abstract
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.
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