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Multi- forword-step state of charge prediction for real-world electric vehicles battery systems using a novel LSTM-GRU hybrid neural network

Electrical EngineeringRecurrent Neural NetworkEngineeringMachine LearningEnergy ManagementBattery ConfigurationEnergy StorageHybrid Electric VehicleCharge PredictionMulti- Forword-step StateHybrid VehicleEnergy PredictionReal-world Electric Vehicles