Machine Learning for Electricity Price Forecasting in Brazil
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In this talk we present the use of Machine Learning methods applied to electricity price forecasting in the Brazilian electric power system. A combination of artificial neural network models to generate water inflows at the hydropower plants reservoir are used in connection of optimization models used to define prices in the market.