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An Approach in Artificial Neural Network in Predicting Power Load Forecasting For Short Term of Indian Electrical Utility

P. Ramachandran*, R. Senthil**

Principal, Jayaram college of Engineering and Technology, Trichy.

Periodicity:November - January'2007
DOI : https://doi.org/10.26634/jfet.2.2.877

Abstract

This paper describes the artificial neural network application to short term load forecasting of an electrical utility. Load forecasting plays an important role in power system operation, planning and control. It has long been recognized that accurate short term load forecast represents a great savings potential for electric utility corporations. Various approaches like time series, regression, expert systems and artificial neural networks have been envisaged in power system operation. A case study using ANN based load forecasting was developed. The capability of Back Propagation algorithm and Kohonen Network have been applied for load forecasting. The performance of the above two methods is tested with the data obtained from Tamilnadu Electricity Board. The design procedure are demonstrated and a sample results are presented.

Keywords

Electrical Power Systems, Short Term Load Forecasting, Artificial Neural Network, Back Propagation Network, Kohonen Network.

How to Cite this Article?

P. Ramachandran and Dr. R. Senthil (2007). An Approach In Artificial Neural Network In Predicting Power Load Forecasting For Short Term Of Indian Electrical Utility. i-manager’s Journal on Future Engineering and Technology, 2(2), 32-39. https://doi.org/10.26634/jfet.2.2.877

References

[1] A.S.Pabla, “Electrical Power Systems Planning”, Macmillan India Ltd., 1998.

[2] Laurene Fausett, “Fundamentals of Neural Networks”, Pearson Education Pt. Ltd. Singapore, 1994.

[3] S.Rajasekaran and G.A.Vijayalakshmi Pai, “Neural Networks, Fuzzy Logic, and Genetic Algorithms”, Prentice- Hall of India Pvt Ltd., 2003.

[4] LiMin Fu., “Neural Networks in Computer Intelligence”, McGraw Hill., New Delhi.

[5] Satish Kumar, “Neural Networks A Classroom Approach”, Tata McGraw Hill., New Delhi, 2005.

[6] O.A.Alsayagh, “Short-term load forecasting using artificial neural networks”, International Journal of Power and Energy Systems, vol. 07, No.3, 2003.

[7] Y. Wang, “Artificial Neural Network Based Load Forecasting”, IEEE Transactions on Power Systems, vol.12, No.1, 1997.

[8] I.Drezga and S.Rahman, “Input Variable Selection For ANN Based Short-term Load Forecasting”, IEEE Transactions on Power Systems, vol. 13, No.4, 1998.

[9] I.Drezga and S.Rahman, “Short-term Load Forecasting With Local ANN Predictors”, IEEE Transactions on Power Systems, vol. 14, No.3, 1999

[10] Statistics At AGlance 2004-05,Tamilnadu Electricity Board.

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