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The load demand for each hour serves as being the enter dataset for GRZPNet, and that is educated utilizing the historical demand datasets. When educated, the community generates exceptional demand outputs, reflecting the variation in demand for every hour. The QI-NLS-G2O approach is adopted for instruction the educational product, as explained und