Nontechnical loss detection for metered customers in power utility using support vector machines J Nagi, KS Yap, SK Tiong, SK Ahmed, M Mohamad
IEEE transactions on Power Delivery 25 (2), 1162-1171, 2009
554 2009 Extreme learning machines: a new approach for prediction of reference evapotranspiration SS Abdullah, MA Malek, NS Abdullah, O Kisi, KS Yap
Journal of Hydrology 527, 184-195, 2015
254 2015 Detection of abnormalities and electricity theft using genetic support vector machines J Nagi, KS Yap, SK Tiong, SK Ahmed, AM Mohammad
TENCON 2008-2008 IEEE region 10 conference, 1-6, 2008
253 2008 Improving SVM-based nontechnical loss detection in power utility using the fuzzy inference system J Nagi, KS Yap, SK Tiong, SK Ahmed, F Nagi
IEEE Transactions on power delivery 26 (2), 1284-1285, 2011
232 2011 Non-technical loss analysis for detection of electricity theft using support vector machines J Nagi, AM Mohammad, KS Yap, SK Tiong, SK Ahmed
2008 IEEE 2nd International Power and Energy Conference, 907-912, 2008
184 2008 A computational intelligence scheme for the prediction of the daily peak load J Nagi, KS Yap, F Nagi, SK Tiong, SK Ahmed
Applied Soft Computing 11 (8), 4773-4788, 2011
114 2011 On equivalence of FIS and ELM for interpretable rule-based knowledge representation SY Wong, KS Yap, HJ Yap, SC Tan, SW Chang
IEEE transactions on neural networks and learning systems 26 (7), 1417-1430, 2014
104 2014 NTL detection of electricity theft and abnormalities for large power consumers in TNB Malaysia J Nagi, KS Yap, F Nagi, SK Tiong, SP Koh, SK Ahmed
2010 IEEE Student Conference on Research and Development (SCOReD), 202-206, 2010
66 2010 Advances of metaheuristic algorithms in training neural networks for industrial applications HY Chong, HJ Yap, SC Tan, KS Yap, SY Wong
Soft Computing 25 (16), 11209-11233, 2021
62 2021 Neural information processing KS Yap, KW Wong, A Teoh, K Huang, CK Loo
Springer, 2014
60 * 2014 Analysis of line sensor configuration for the advanced line follower robot MZ Baharuddin, IZ Abidin, SSK Mohideen, YK Siah, JTT Chuan
University Tenaga Nasional, 2005
57 2005 A Hybrid ART-GRNN Online Learning Neural Network With a -Insensitive Loss Function KS Yap, CP Lim, IZ Abidin
IEEE transactions on neural networks 19 (9), 1641-1646, 2008
49 2008 Improved GART neural network model for pattern classification and rule extraction with application to power systems KS Yap, CP Lim, MT Au
IEEE transactions on neural networks 22 (12), 2310-2323, 2011
47 2011 Electrical power load forecasting using hybrid self-organizing maps and support vector machines J Nagi, K Yap, S Tiong, S Ahmed
Training 99 (1), 31, 2008
40 2008 A Constrained Optimization based Extreme Learning Machine for noisy data regression SY Wong, KS Yap, HJ Yap
Neurocomputing 171, 1431-1443, 2016
39 2016 A truly online learning algorithm using hybrid fuzzy ARTMAP and online extreme learning machine for pattern classification SY Wong, KS Yap, HJ Yap, SC Tan
Neural Processing Letters 42, 585-602, 2015
32 2015 Application of genetic algorithm for fuzzy rules optimization on semi expert judgment automation using Pittsburg approach CH Tan, KS Yap, HJ Yap
Applied Soft Computing 12 (8), 2168-2177, 2012
30 2012 An enhanced generalized adaptive resonance theory neural network and its application to medical pattern classification KS Yap, CP Lim, J Mohamad-Saleh
Journal of Intelligent & Fuzzy Systems 21 (1, 2), 65-78, 2010
28 2010 Comparison of supervised learning techniques for non-technical loss detection in power utility KS Yap, SK Tiong, J Nagi, JSP Koh, F Nagi
International Review on Computers and Software 7 (2), 626-636, 2012
27 2012 Daily maximum load forecasting of consecutive national holidays using OSELM-based multi-agents system with weighted average strategy KS Yap, HJ Yap
Neurocomputing 81, 108-112, 2012
26 2012