Time Series Cluster Analysis on Electricity Consumption of North Hebei Province in China
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.
KeywordsElectricity consumption Time series clustering Wavelet analysis
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