Long-term load forecasting via a hierarchical neural model with time integrators

Electric Power Systems Research - Tập 77 - Trang 371-378 - 2007
Otávio A.S. Carpinteiro1, Rafael C. Leme2,1, Antonio C. Zambroni de Souza2,1, Carlos A.M. Pinheiro1, Edmilson M. Moreira1
1Research Group on Computer Networks and Software Engineering, Federal University of Itajubá, Av. BPS 1303, Itajubá, MG, 37500-903, Brazil
2Research Group on Electrical Systems Engineering, Federal University of Itajubá, Av. BPS 1303, Itajubá, MG, 37500-903, Brazil

Tài liệu tham khảo

Ranaweera, 1997, Economic impact analysis of load forecasting, IEEE Trans. Power Syst., 12, 1388, 10.1109/59.630486 C. Kuo, A. Reitsch, Neural networks vs. conventional methods of forecasting, J. Bus. Forecasting (Winter 1995/1996) 17–22. Zhang, 1998, Forecasting with artificial neural networks: the state of the art, Int. J. Forecasting, 14, 35, 10.1016/S0169-2070(97)00044-7 Marin, 2002, Global model for short-term load forecasting using artificial neural networks, IEE Proc. Generat. Transm. Distribut., 149, 121, 10.1049/ip-gtd:20020224 H. Mori, State-of-the-art overview on artificial neural networks in power systems, in: M., El-Sharkawi, D., Niebur (Eds.), A Tutorial Course on Artificial Neural Networks with Applications to Power Systems, IEEE Power Engineering Society, 1996, Ch. 6, pp. 51–70. Kermanshahi, 1998, Recurrent neural network for forecasting next 10 years load of nine Japanese utilities, Neurocomputing, 23, 125, 10.1016/S0925-2312(98)00073-3 Hippert, 2001, Neural networks for short-term load forecasting: a review and evaluation, IEEE Trans. Power Syst., 16, 44, 10.1109/59.910780 Zhang, 2001, An adaptive neural-wavelet model for short term load forecasting, Electric Power Syst. Res., 59, 121, 10.1016/S0378-7796(01)00138-9 Kim, 2002, Kohonen neural network and wavelet transform based approach to short-term load forecasting, Electric Power Syst. Res., 63, 169, 10.1016/S0378-7796(02)00097-4 Reis, 2005, Feature extraction via multiresolution analysis for short-term load forecasting, IEEE Trans. Power Syst., 20, 189, 10.1109/TPWRS.2004.840380 Kohonen, 2001 Galván, 2001, Multi-step learning rule for recurrent neural models: an application to time series forecasting, Neural Process. Lett., 13, 115, 10.1023/A:1011324221407 M A El-Sharkawi, Internet web page http://www.ee.washington.edu/class/559/2002spr/, 2002. Lo, 1991, Improved rate of convergence in Kohonen neural network, 201 Lo, 1991, Analysis of neighborhood interaction in Kohonen neural networks, 246 G. Widrow, M.E. Hoff, Adaptive switching circuits, Institute of Radio Engineers, Western Electronic Show and Convention, Convention Record, Part 4, 1960. Sutton, 1981, Toward a modern theory of adaptive networks: expectation and prediction, Psychol. Rev., 88, 135, 10.1037/0033-295X.88.2.135