基于模糊粗糙集属性约简理论的能耗基线模型

ENERGY CONSUMPTION BASELINE MODEL USING FUZZY-ROUGH SET AND ATTRIBUTE REDUCTION THEORY

提出一种基于模糊粗糙集属性约简理论构建能耗基线模型的方法。首先对初始的能耗影响因素进行模糊化并预处理,明确条件属性和决策属性,形成决策表;然后对决策表进行属性约简,获得与原能耗影响因素集合具有相同分类能力的能耗重大影响因素;最后将能耗重大影响因素作为输入变量构建能耗基线模型。中央空调系统节能改造项目能耗基线模型的算例可验证所提方法的有效性,并降低建模难度。

An energy consumption baseline modeling method based on fuzzy-rough set and attribute reduction theory was proposed. Firstly, original energy consumption factors were fuzzified and pretreated, and then a decision table was formulated after defining condition attributes and decision attribute. Secondly, significant energy consumption attributes having the same classification ability with the original energy consumption factor set could be obtained by attribute reduction on the decision table. Finally, taking the significant energy consumption attributes as input variables to develop energy consumption baseline model. Energy consumption baseline modeling simulation of an energy saving retrofit project on a central air-conditioning system demonstrates the validity of the proposed method, and modeling difficulty is reduced.