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P. Maheshwari

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Conference Jul 2026

LSTM–GRU Hybrid Deep Learning Model for Short-Term Load Forecasting in Smart Grid Systems

For smart grid power system planning and operation, short-term load forecasting is crucial. Important decisions including determining system safety, scheduling fuel, economically dispatching electricity, and selling energy can be aided by accurate day-ahead estimates. However, due to its reliance on external variables...

L. Jayavani, Banoth Ashwini, Kolkur Swabhavika et al. · 0 citations

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