Neural Network Based Power Flow Predictor
S. Madan* and K. E. Bollinger**
*Qualcomm Incorporated 5775 Morehouse Dr. San Diego, CA 92121
**Department of Electrical & Computer Engineering, University of Alberta Edmonton, A13, T6G 2G7
This paper describes the development of a synergistic intelligent system for power system management. One component of this system is a neural network (NN) based software utility, which predicts power flows over transmission lines and transformers. This paper focuses on the NN predictor
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