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• W2897750202 abstract "Abstract In recent years, with the rapid economic growth, the electric power consumption has led to a continuous increase. Besides, to adapt to the new supply and demand relationships, industrial structure has changed dramatically, and electricity consumption in different industries has changed accordingly, such as in Hebei province that boasts a large amount of traditional industries. Hence, the study of the change of electricity consumption in different industries and the correlation between them have great practical significance for monitoring changes in macroeconomic structure and aiding decision-making in power companies. This paper selected a typical county in Hebei Province and used the method of complex network and sensitive coefficient to analyze the correlation of electricity load among different industries. This paper found that the industrial structure in Bazhou county show a strong relationship with the traditional industry classification. The correlation between each industry in the same traditional industry is stronger and more stable, and it is weaker and more changeable regarding different traditional industries." @default.
• W2897750202 created "2018-10-26" @default.
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• W2897750202 date "2018-01-01" @default.
• W2897750202 modified "2023-09-23" @default.
• W2897750202 title "Research on the Correlation of Monthly Electricity Consumption in Different Industries: A Case Study of Bazhou County" @default.
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• W2897750202 doi "https://doi.org/10.1016/j.procs.2018.10.245" @default.
• W2897750202 hasPublicationYear "2018" @default.
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