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Electricity price forecasting — ARIMA model approach

机译:电力价格预测 - Arima模型方法

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Electricity price forecasting is becoming more important in everyday business of power utilities. Good forecasting models can increase effectiveness of producers and buyers playing roles in electricity market. Price is also a very important element in investment planning process. This paper presents a forecasting technique to model day-ahead spot price using well known ARIMA model to analyze and forecast time series. The model is applied to time series consisting of day-ahead electricity prices from EPEX power exchange.
机译:电力价格预测在电力公用事业日常业务中变得越来越重要。 良好的预测模型可以提高生产者和买家在电力市场中发挥作用的效力。 价格也是投资规划过程中的一个非常重要的因素。 本文介绍了使用众所周知的Arima模型来分析和预测时间序列的前方现货价格的预测技术。 该模型适用于由EPEX电源交换的前方电力价格组成的时间序列。

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