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Deep Learning Algorithm to Predict The Integration Efficiency Of Wind Turbine In Smart Grid

This paper deals with the problem of the energy management in smart grids. To achieve this objective, a deep learning forecasting algorithm is realized to estimate the smart grid parameters, wind speed, wind turbine power and power consumption, so as to optimize the consumption energy. All results are checked carrying out Matlab simulation using real wind speed and consumption data. The simulation results give a good performance of our proposed management system.