@inproceedings{56b33842230641b79e728af38e07a6cf,
title = "An application of genetic algorithm and least squares support vector machine for tracing the transmission loss in deregulated power system",
abstract = "This paper proposes a new method to trace the transmission loss in deregulated power system by applying Genetic Algorithm (GA) and Least Squares Support Vector Machine (LS-SVM). The idea is to use GA as an optimizer to find the optimal values of hyper-parameters of LS-SVM and adopt a supervised learning approach to train the LS-SVM model. The well known proportional sharing method (PSM) is used to trace the loss at each transmission line which is then utilized as a teacher in the proposed hybrid technique called GA-SVM method. Based on load profile as inputs and PSM output for transmission loss allocation, the GA-SVM model is expected to learn which generators are responsible for transmission losses. In this paper, IEEE 14-bus system is used to show the effectiveness of the proposed method.",
keywords = "Deregulation, genetic algorithm, proportional sharing method, support vector machine, transmission loss allocation",
author = "Mustafa, {M. W.} and Sulaiman, {M. H.} and H. Shareef and Khalid, {S. N.Abd} and Rahim, {S. R.Abd} and O. Alima",
year = "2011",
doi = "10.1109/PEOCO.2011.5970400",
language = "English",
isbn = "9781457703546",
series = "2011 5th International Power Engineering and Optimization Conference, PEOCO 2011 - Program and Abstracts",
pages = "375--380",
booktitle = "2011 5th International Power Engineering and Optimization Conference, PEOCO 2011 - Program and Abstracts",
note = "2011 5th International Power Engineering and Optimization Conference, PEOCO 2011 ; Conference date: 06-06-2011 Through 07-06-2011",
}