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The load demand for every hour serves given that the enter dataset for GRZPNet, and that is properly trained utilizing the historical demand datasets. At the time educated, the network generates ideal demand outputs, reflecting the variation in demand for every hour. The QI-NLS-G2O approach is adopted for training the educational model, as describe

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