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Analysis of Electricity Demand Forecasting in Inner Mongolia Based on Gray Markov Model

机译:基于灰色马尔可夫模型的内蒙古电力需求预测分析

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Accurate electricity demand forecasting is the foundation of power system operation and planning, the basic of placing development plans, business strategy and tactics of the power companies. Electricity consumption is a gray system which is impacted by economic development, industrial structure, income levels and national policies. The paper counted Inner Mongolia electricity data from four factors, used the gray model GM (1, n) to predict, established Markov model from the percentage of relative deviation δ of the fitted value and actual value, and revised forecast values obtained from gray model. At last, the paper predicted the demand for electric power industry in Inner Mongolia by gray Markov model.
机译:准确的电力需求预测是电力系统运行和计划的基础,是电力公司制定发展计划,业务战略和策略的基础。用电量是一个灰色系统,受经济发展,产业结构,收入水平和国家政策的影响。本文从四个因素对内蒙古电力数据进行了统计,使用灰色模型GM(1,n)进行预测,根据拟合值与实际值的相对偏差δ的百分比建立了马尔可夫模型,并对灰色模型进行了修正后的预测值。最后,通过灰色马尔可夫模型对内蒙古电力工业的需求进行了预测。

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