Wavelet neural network based short term load forecasting of electric power system commercial load

In an electric power system, the system load consists of domestic, commercial, industrial and municipal load sectors. This paper presents an approach for predicting electric power system commercial load using a wavelet neural network. Morlet and Mexican hat wavelets are used to generate the transfer functions of hidden layer nodes of the neural network. A wavelet neural network is trained for a particular power system load. Results show that wavelet neural networks may outperform traditional architectures in approximation and forecasting problems related to electric power system.

[1]  Jessica Lowell.  Neural Network , 2001 .

[2]  G. Gross,et al.  Short-term load forecasting , 1987, Proceedings of the IEEE.

[3]  J. A. Ware,et al.  Wavelet networks as an alternative to neural networks , 1997, 1997 IEEE 6th International Conference on Emerging Technologies and Factory Automation Proceedings, EFTA '97.

[4]  Wenbo Wang,et al.  A new wavelet network architecture for echo cancellation , 1996, Proceedings of Digital Processing Applications (TENCON '96).

[5]  T. S. Dillon,et al.  An adaptive neural network approach in load forecasting in a power system , 1991, Proceedings of the First International Forum on Applications of Neural Networks to Power Systems.

[6]  Y. Shimakura,et al.  Short-term load forecasting using an artificial neural network , 1993, [1993] Proceedings of the Second International Forum on Applications of Neural Networks to Power Systems.

[7]  T. Chow,et al.  Nonlinear autoregressive integrated neural network model for short-term load forecasting , 1996 .

[8]  C. Laymon.  A. study , 2018, Predication and Ontology.

[9]  Shang-Liang Chen,et al.  Orthogonal least squares learning algorithm for radial basis function networks , 1991, IEEE Trans. Neural Networks.

[10]  D. K. Ranaweera,et al.  Application of radial basis function neural network model for short-term load forecasting , 1995 .

[11]  A. Tascillo,et al.  Nonlinear forecasting with wavelet neural networks , 1997, 1997 IEEE International Conference on Systems, Man, and Cybernetics. Computational Cybernetics and Simulation.

[12]  Yoh-Han Pao,et al.  Unsupervised/supervised learning concept for 24-hour load forecasting , 1993 .

[13]  P. Chang,et al.  Nonlinear communication channel equalization using wavelet neural networks , 1994, Proceedings of 1994 IEEE International Conference on Neural Networks (ICNN'94).

[14]  Takeshi Yamakawa,et al.  Wavelet neural networks employing over-complete number of compactly supported non-orthogonal wavelets and their applications , 1994, Proceedings of 1994 IEEE International Conference on Neural Networks (ICNN'94).

[15]  A. Prochazka,et al.  Time series prediction using genetically trained wavelet networks , 1994, Proceedings of IEEE Workshop on Neural Networks for Signal Processing.

[16]  Chun-Ta Chen,et al.  Signal representation using adaptive Wave-Net , 1997, Proceedings of International Conference on Neural Networks (ICNN'97).

[17]  S. Vemuri,et al.  Neural network based short term load forecasting , 1993 .

[18]  Jose A. Romagnoli,et al.  Application of wave-nets to modelling and optimisation of a multidimensional chemical process , 1995, Proceedings of ICNN'95 - International Conference on Neural Networks.

[19]  Susu Yao,et al.  Evolving wavelet neural networks , 1995, Proceedings of ICNN'95 - International Conference on Neural Networks.

[20]  Kwang Y. Lee,et al.  A study on neural networks for short-term load forecasting , 1991, Proceedings of the First International Forum on Applications of Neural Networks to Power Systems.

[21]  S. Thomas Alexander,et al.  Adaptive Signal Processing , 1986, Texts and Monographs in Computer Science.

[22]  M.E. El-Hawary,et al.  Application of least absolute value parameter estimation technique based on linear programming to short-term load forecasting , 1996, Proceedings of 1996 Canadian Conference on Electrical and Computer Engineering.

[23]  M.E. El-Hawary,et al.  A decomposition approach to forecasting electric power system commercial load using an artificial neural network , 1994, Proceedings of 1994 IEEE International Conference on Neural Networks (ICNN'94).

[24]  R. L. Peskin,et al.  Wavelet neural networks and receptive field partitioning , 1993, IEEE International Conference on Neural Networks.

[25]  Umit Ozguner,et al.  Wavelet neural networks: a design perspective , 1994, Proceedings of 1994 9th IEEE International Symposium on Intelligent Control.

[26]  M. D. Cox,et al.  Discrete wavelet analysis of power system transients , 1996 .

[27]  S. Yao,et al.  Evolving wavelet neural networks for function approximation , 1996 .