SHORT TERM LOAD FORECASTING BY MEANS OF LOAD TIME SERIES DECOMPOSITION AND NEURAL NETWORK

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FIROUZNIA R.A.; AMJADI N.

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Journal Paper

Paper Information

Journal: Modeling in Engineering Year:2009 | Volume:7 | Issue:16 Page(s): 0-0

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Title

SHORT TERM LOAD FORECASTING BY MEANS OF LOAD TIME SERIES DECOMPOSITION AND NEURAL NETWORK

Author(s)

FIROUZNIA R.A. | AMJADI N. | Issue Writer Certificate

Keywords

LOAD FORECASTING

ARTIFICIAL NEURAL NETWORK

WAVELETS

Abstract

The importance of short term LOAD FORECASTING has been increasing lately. ARTIFICIAL NEURAL NETWORK (ANN) Method is applied to forecast the short term LOAD FORECASTING for a large power system. A nonlinear load model is proposed and several structures of ANN for short term LOAD FORECASTING are tested. Inputs to the ANN are past loads and the output of the ANN is the load forecast for a given day. More autonomous load predictors are needed in the new competitive scenario. This paper describes two strategies for embedding the discrete wavelet transform into neural network based short term LOAD FORECASTING. Its main goal is to develop more robust load forecasters.

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APA: Copy

FIROUZNIA, R.A., & AMJADI, N.. (2009). SHORT TERM LOAD FORECASTING BY MEANS OF LOAD TIME SERIES DECOMPOSITION AND NEURAL NETWORK . JOURNAL OF MODELING IN ENGINEERING, 7(16), 0-0. SID. https://sid.ir/paper/559192/en

Vancouver: Copy

FIROUZNIA R.A., AMJADI N.. SHORT TERM LOAD FORECASTING BY MEANS OF LOAD TIME SERIES DECOMPOSITION AND NEURAL NETWORK . JOURNAL OF MODELING IN ENGINEERING[Internet]. 2009;7(16):0-0. Available from: https://sid.ir/paper/559192/en

IEEE: Copy

R.A. FIROUZNIA, and N. AMJADI, “SHORT TERM LOAD FORECASTING BY MEANS OF LOAD TIME SERIES DECOMPOSITION AND NEURAL NETWORK ,” JOURNAL OF MODELING IN ENGINEERING, vol. 7, no. 16, pp. 0–0, 2009, [Online]. Available: https://sid.ir/paper/559192/en

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