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Time Series Cluster Analysis on Electricity Consumption of North Hebei Province in China

机译:冀北地区用电量的时间序列聚类分析

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In recent years, China has vigorously promoted the building of ecological civilization and regarded green low-carbon development as one of the important directions and tasks for industrial transformation and upgrading. It calls for accelerating industrial energy conservation and consumption reduction, accelerating the implementation of cleaner production, accelerating the use of renewable resources, promoting industrial savings and cleanliness, advancing changes in low-carbon and high-efficiency production, and promoting industrial restructuring and upgrading. A series of measures have had a negative impact on the scale of industrial production in the region, thereby affecting the electricity consumption here. Based on the electricity consumption data of 31 counties in northern Hebei, this paper uses the time series clustering method to cluster the electricity consumption of 31 counties in Hebei Province. The results show that the consumption of electricity in different counties is different. The macro-control policies have different impacts on different types of counties.
机译:近年来,中国大力推进生态文明建设,把绿色低碳发展作为产业转型升级的重要方向和重要任务之一。它呼吁加快工业节能和减少消耗,加快实施清洁生产,加快使用可再生资源,促进工业节约和清洁度,推进低碳和高效率生产的变化,并促进产业结构调整和升级。一系列措施对该地区的工业生产规模产生了负面影响,从而影响了当地的电力消耗。基于冀北31个县的用电量数据,采用时间序列聚类法对河北省31个县的用电量进行聚类。结果表明,不同县的用电量不同。宏观调控政策对不同类型县的影响不同。

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