摘要
Abstract
This paper takes the residents in Heze City as the research object,and examines their air-conditioning usage characteristics.The paper establishes a multi-dimensional evaluation index system that includes energy-saving willingness,knowledge acquisition,and climate attitude,preference for environmentally friendly products,cost awareness,energy-saving habits,and thermal adaptation behavior.The K-means clustering method is used to classify the air-conditioning usage characteristics of the residents.It is found that the air-conditioning usage characteristics of the residents can be categorized into four types:energy-saving,behavior-controllable,low energy-saving motivation,and energy-wasting,and their air-conditioning use behaviors show significant differences.Based on this,the paper proposes the targeted energy-saving strategies.This paper innovatively develops a data-driven group classification method,providing theoretical support and practical guidance for formulating differentiated energy-saving strategies in small and medium-sized cities.关键词
聚类分析/节能优化策略/空调能耗Key words
cluster analysis/energy-saving optimization strategies/air-conditioning energy consumption分类
建筑与水利
