Modelling Oscillator Phase Noise with Decision Tree Classification
Rafiqul Akter
Corresponding
University of Moratuwa
Abstract
The growing scarcity of clean water in the region makes the management of oscillator phase noise within renewable energy systems a matter of considerable urgency. The proposed algorithm uses decision tree classification to search efficiently for the optimum design of renewable energy systems. Optimisation improved overall efficiency by 8% without any increase in capital cost. The outcomes should assist policy makers in setting realistic standards for the sector.
Keywords:
oscillator phase noisedecision tree classificationsupport vector machineinduction motorreinforced concrete
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