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In daily power markets, forecasting electricity prices and loads is the most essential task and basis for security-constrained unit commitment (SCUC) and risk management. An approach to predict the market behavior is to use the historical prices, loads and other required information to forecast the future prices and loads. This paper forecasts the loads and prices with artificial neural networks (ANN)...
Mid-term load forecasting is taken into account as one of the most important policies in the electricity market and brings about many financial, commercial and, even, political benefits. In this paper, artificial neural networks are represented for mid-term load forecasting of Iran national power system. To do so, the multi layer perceptron (MLP) neural network as well as radial basis function (RBF)...
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