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APPROACHES: CONVOLUTIONAL NEURAL NETWORKS AND MODEL PREDICTIVE CONTROL FOR ACTIVE POWER FORECASTING IN THE BLITTA SOLAR PHOTOVOLTAIC POWER PLANT IN TOGO USING METEOROLOGICAL VARIABLES
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