Abstract
The purpose of the study is to simulate the time series of power consumption in a power grid segment. It gives us be able to forecast the future state from values of the series according to current and past estimates. We want to test two different approaches: Box-Jenkins method and recurrent neural networks, for detect which of them give more accuracy and speed of prediction calculation. This article discusses the using Box-Jenkins method.
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