Analysing the electricity consumers’ attitude with Structural Equation Modeling

S. Oprea
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Abstract

Demand Side Management (DSM) is a set of measures, policies and strategies sensitive to the electricity consumers’ attitude that is a sum of perceptions and expectations influenced by relevant information, related to the benefits that can change the consumers’ behaviour towards sustainable electricity consumption. Internet access, Pro-environmental measures, Expectations and Relation with supplier are several unobserved factors that impact the Attitude of consumers. The Structural Equation Model (SEM) allows us to identify the latent factors and indicate the directional relationships among these factors that are behind the measured items of questionnaire data. Thus, in this paper we propose to analyse a complex data set from a pre-trial questionnaire with SEM and reveal interesting insights related to latent factors that have the potential to enhance the DSM strategies. For simulations, a complex data set with 4,232 observations and 143 items is considered and several smaller data subsets verify whether the model capitalize on change characteristics of a certain data set or not.
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用结构方程模型分析电力消费者的态度
需求侧管理(DSM)是一套对电力消费者态度敏感的措施、政策和策略,这种态度是受相关信息影响的感知和期望的总和,与可以改变消费者对可持续电力消费行为的好处有关。互联网接入、环保措施、期望和与供应商的关系是影响消费者态度的几个未观察到的因素。结构方程模型(SEM)使我们能够识别问卷数据测量项目背后的潜在因素,并指出这些因素之间的方向性关系。因此,在本文中,我们建议用扫描电镜分析来自预审问卷的复杂数据集,并揭示与潜在因素相关的有趣见解,这些潜在因素有可能增强DSM策略。对于模拟,考虑一个包含4232个观测值和143个项目的复杂数据集,并使用几个较小的数据子集验证模型是否利用了某个数据集的变化特征。
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来源期刊
Scientific Bulletin of Naval Academy
Scientific Bulletin of Naval Academy Engineering-Ocean Engineering
自引率
0.00%
发文量
16
审稿时长
8 weeks
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