Transmission loss allocation using artificial neural networks
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[1] F. Galiana,et al. Studies of bilateral contracts with respect to steady-state security in a deregulated environment , 1997, Proceedings of the 20th International Conference on Power Industry Computer Applications.
[2] H. Happ. Cost of wheeling methodologies , 1994 .
[3] S. Shahnawaz Ahmed,et al. Predicting power system voltage profile using a neural network trained with an adaptive learning algorithm , 1997 .
[4] Thelma S. P. Fernandes,et al. Methodologies for Loss and Line Flow Allocation under a Pool-Bilateral , 2002 .
[5] P. S. Sastry,et al. Analysis of the back-propagation algorithm with momentum , 1994, IEEE Trans. Neural Networks.
[6] Etienne Barnard,et al. Avoiding false local minima by proper initialization of connections , 1992, IEEE Trans. Neural Networks.
[7] Ashikur Rahman Bhuiya. A study of bilateral contracts in a deregulated power system network , 2004 .
[8] Kenji Nakayama,et al. A training scheme for pattern classification using multi-layer feed-forward neural networks , 1999, Proceedings Third International Conference on Computational Intelligence and Multimedia Applications. ICCIMA'99 (Cat. No.PR00300).
[9] A. Conejo,et al. Transmission Loss Allocation: A Comparison of Different Practical Algorithms , 2002, IEEE Power Engineering Review.
[10] Janusz Bialek,et al. Topological generation and load distribution factors for supplement charge allocation in transmission open access , 1997 .
[11] Martin A. Riedmiller,et al. A direct adaptive method for faster backpropagation learning: the RPROP algorithm , 1993, IEEE International Conference on Neural Networks.
[12] Richard P. Lippmann,et al. An introduction to computing with neural nets , 1987 .
[13] R. Haque,et al. An artificial neural network based transmission loss allocation for bilateral contracts , 2005, Canadian Conference on Electrical and Computer Engineering, 2005..
[14] M. Fernandez-Redondo,et al. Multilayer feedforward weight initialization , 2001, IJCNN'01. International Joint Conference on Neural Networks. Proceedings (Cat. No.01CH37222).
[15] Emile Fiesler,et al. High-order and multilayer perceptron initialization , 1997, IEEE Trans. Neural Networks.
[16] Tao Xiong,et al. A combined SVM and LDA approach for classification , 2005, Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005..
[17] Jian Yang,et al. Tracing the flow of power in transmission networks for use-of-transmission-system charges and congestion management , 1999, IEEE Power Engineering Society. 1999 Winter Meeting (Cat. No.99CH36233).
[18] Sanjeeva Kumar Redlapalli,et al. Development of Neural Units with Higher-Order Synaptic Operations and their Applications to Logic Circuits and Control Problems , 2004 .
[19] Tommy W. S. Chow,et al. Feedforward networks training speed enhancement by optimal initialization of the synaptic coefficients , 2001, IEEE Trans. Neural Networks.
[20] Antonio J. Conejo,et al. Z-Bus Loss Allocation , 2001 .
[21] William S. Meisel,et al. Computer-oriented approaches to pattern recognition , 1972 .
[22] Wen Jin,et al. The improvements of BP neural network learning algorithm , 2000, WCC 2000 - ICSP 2000. 2000 5th International Conference on Signal Processing Proceedings. 16th World Computer Congress 2000.
[23] R.H. Lasseter,et al. The impact of generation mix on placement of static VAr compensators , 1999, IEEE Power Engineering Society. 1999 Winter Meeting (Cat. No.99CH36233).
[24] Goran Strbac,et al. Contributions of individual generators to loads and flows , 1997 .
[25] N. Chowdhury,et al. Determination of loss factors in a deregulated system , 2005, Canadian Conference on Electrical and Computer Engineering, 2005..
[26] A. David,et al. Optimal dispatch under transmission contracts , 1999 .
[27] R. Lippmann,et al. An introduction to computing with neural nets , 1987, IEEE ASSP Magazine.
[28] Sandro Ridella,et al. Statistically controlled activation weight initialization (SCAWI) , 1992, IEEE Trans. Neural Networks.
[29] A. Gomez Exposito,et al. Fair allocation of transmission power losses , 2000 .
[30] Shu-Hung Leung,et al. Fast convergence for backpropagation network with magnified gradient function , 2003, Proceedings of the International Joint Conference on Neural Networks, 2003..
[31] Marios M. Polycarpou,et al. Learning and convergence analysis of neural-type structured networks , 1992, IEEE Trans. Neural Networks.
[32] Hadi Saadat,et al. Power System Analysis , 1998 .