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This paper aims to apply the bio-inspired intelligent techniques to optimize the maintenance scheduling of transformers. The study is enhanced with the aid of forest optimization algorithm to reach a schedule of reduced failure rate and decreased insulation life loss of transformers. To verify the effectivity of this approach, the method is tested on a real distribution system consisting of 48 distribution...
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