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The load demand for every hour serves since the enter dataset for GRZPNet, that is properly trained using the historic demand datasets. Once properly trained, the network generates optimum demand outputs, reflecting the variation in demand for every hour. The QI-NLS-G2O technique is adopted for education the learning product, as described down belo