Abstract

The large coal-fired power generation system characterizes as complex structure, highly coupling and nonlinear correlation between energy consumption and external environment, resources and load demand. The attribute reduction method based on fuzzy rough set (FRS) was introduced to extract the dominant features related to energy consumption and eliminate the redundant features as well. Taking the reduced attributes as input variables, which provide the important base for analyze the energy consumption of the coal-fired power unit.

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