@inproceedings{87e7239fe94047f5b53a4d753e7af96a,

title = "Neural Network based stochastic load flow analysis",

abstract = "Neural Network based method for the analysis of stochastic load flow is presented in this paper. Stochastic load flow is a method for calculation of the effects of inaccuracies in input data on all output quantities through the load flow calculations. This gives a range of values for each output quantity, which represent the operative condition of the system, to a high degree of probability. It is desirable to know the state of the power system, with consideration of input data accuracies, on instant-to-instant basis and present method of neural network application to stochastic load flow problem is an effort in that direction. The proposed neural network model has been tested on a sample power system and simulation results are presented.",

keywords = "Back propagation, Confidence limit, Neural network, Power System, Stochastic load flow",

author = "Amit Jain and Tripathy, {S. C.} and R. Balasubramanian and Kamal Garg and Yoshiyuki Kawazoe",

year = "2004",

month = dec,

day = "1",

language = "English",

isbn = "0780386108",

series = "2004 International Conference on Power System Technology, POWERCON 2004",

pages = "1845--1850",

booktitle = "2004 International Conference on Power System Technology, POWERCON 2004",

note = "2004 International Conference on Power System Technology, POWERCON 2004 ; Conference date: 21-11-2004 Through 24-11-2004",

}