JACIII Vol.4 No.3 pp. 200-205
doi: 10.20965/jaciii.2000.p0200


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

March 12, 2000
May 20, 2000
May 20, 2000
Artificial intelligence, Intelligent engineering, Load-Shedding, Power systems, Neural networks, Volt-age/VAr violations, Voltage stability
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
Cite this article as:
S. Madan and K. Bollinger, “Neural Network Based Power Flow Predictor,” J. Adv. Comput. Intell. Intell. Inform., Vol.4 No.3, pp. 200-205, 2000.
Data files:

*This site is desgined based on HTML5 and CSS3 for modern browsers, e.g. Chrome, Firefox, Safari, Edge, Opera.

Last updated on Jul. 12, 2024