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Applicability of models based on deterministic chaos theory for forecasting of electricity sales in rural areas

机译:基于确定性混沌理论的模型在农村电力销售预测中的适用性

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The applicability of models based on deterministic chaos theory, in particular the self-similar fractal models, logistic models according to Prigogine, logistic models according to Schuster, and heuristic crossing models for one-year-ahead forecastingof the sales of electric energy in the rural areas, is verified in the paper. The model quality assessment was carried out based on the errors analysis of the 10-year ex post forecasts of the electric energy sale to rural consumers by three selected distribution companies. As the electric energy consumption were disturbed by economic crises, the forecasts were developed using not only annual sales value but also using their 2-, 3-, 4- and 5-year totals. The best forecast were obtained when the electricenergy sales were predicted using the Schuster and heuristic crossing models, made on the basis of four- and five-year totals of annual sales values.
机译:基于确定性混沌理论的模型(尤其是自相似分形模型,根据Prigogine的Logistic模型,根据Schuster的Logistic模型以及启发式交叉模型)在农村地区一年的电价预测中的适用性领域,在本文中进行了验证。模型质量评估是基于对三个选定的配电公司向农村消费者销售电能的事后预测的十年误差分析进行的。由于电能消耗受到经济危机的困扰,因此不仅使用年销售额,还使用其2年,3年,4年和5年的总和来制定预测。当使用Schuster和启发式交叉模型对电能销售进行预测时,将获得最佳的预测,该模型基于四年和五年的年度总销售值。

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