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Forecasting Consumption of Electrical Energy Using Time Series Comprised of Uncertain Data

机译:使用不确定数据组成的时间序列预测电能消耗

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A lot of forecasting methods and models have been proposed by researchers for different applications with the main issue to improve their accuracy. Electrical loads and energy consumption forecasting is one of the most important task in power system operation and planning. However, in some cases we need to solve this problem in the absence of reliable and adequate historical data. In this regard paper presents the development of fuzzy time series for electrical energy consumption forecasting. The experimental data of monthly energy consumption is used to demonstrate the model's effectiveness.
机译:研究人员提出了许多预测方法和模型,以提高其准确性的主要问题。电负载和能量消耗预测是电力系统运行和规划中最重要的任务之一。但是,在某些情况下,我们需要在没有可靠和充足的历史数据的情况下解决这个问题。在这方面,提出了用于电能消耗预测的模糊时间序列的开发。每月能源消耗的实验数据用于展示模型的有效性。

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