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...