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Forecasting the Day-Ahead Prices in Electricity Spot Market of Turkey by Using Artificial Neural Networks

机译:使用人工神经网络预测土耳其电力现货市场的日期价格

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Artificial Neural Networks (ANN) which is a part of artificial intelligence is an effective tool of modelling the relations between variables without any restrictive assumption of dataset. However, it is not widely used in social sciences as in the other engineering or natural sciences. The purpose of this study is to perform an application of ANN in modelling the relationships of variables in the electricity stock market EXIST which matches the supply and demand of Generation Companies (GenCo) and electricity distribution companies in Turkey. The output variable is the price of electricity in the stock market, input variables are formed as the historical data of prices and days of the weeks. Performance of network has been determined by multiple performance indicators.
机译:作为人工智能的一部分的人工神经网络(ANN)是一种建模变量与数据集的任何限制假设的有效工具。 然而,在其他工程或自然科学中,它并不广泛应用于社会科学。 本研究的目的是在存在中,在建模存在的股票市场中的变量关系中进行,这与土耳其发电公司(Genco)和电力分配公司的供求相匹配。 输出变量是股票市场的电力价格,输入变量形成为价格和几周数的历史数据。 网络的性能已由多种性能指标确定。

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