An application of genetic algorithm and least squares support vector machine for tracing the transmission loss in deregulated power system

• Main Authors: M. W., Mustafa, H., Shareef, M. H., Sulaiman, S. N., Abd. Khalid, S. R., Abd. Rahim, Omar, Aliman
• Format: Conference or Workshop Item
• Language: English
• Published: IEEE 2011
• Subjects: TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://umpir.ump.edu.my/id/eprint/26118/1/An%20application%20of%20genetic%20algorithm%20and%20least%20squares%20support%20vector%20machine.pdf; http://umpir.ump.edu.my/id/eprint/26118/; https://doi.org/10.1109/PEOCO.2011.5970400

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 lear...