Hong Gunn Chew

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Dual-nu Support Vector Machine (SVM) is an effective method in pattern recognition and target detection. It offers competitive performance in detection and computation with traditional classifiers. In this paper, we show that the Dual-nu SVM is capable of achieving classification performance for binary classification no worse than other types of Support(More)
With the uptake of intermittent renewable generation (namely wind and solar), the battery storage market is now growing and generation in modern power systems is becoming more distributed and behind-the-meter. Utilities are investigating ways to provide incentives to encourage end-users to participate in the overall control of the grid. These developments(More)
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