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In this paper, the concept of prediction granules (PGs) is introduced for the real world application problems. The PGs are constructed by prediction intervals (PIs) and a learning-based method. Specifically, a granular emotional neural network (GENN) is proposed and the resulting network is examined on real world wind farm power generation dataset, obtained from New South Wales of Australia. A traditional...
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