Household electricity consumption analysis under the use of smart grid applications - a demand-side approach

Date

2023-9-11

Author

Ulusoy Yılmaz, Rabia

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Electricity networks that incorporate information and communication technology into the grid are known as smart grids. They call for a change from the centralized, fossil fuel-based power systems that are currently in place to ones that can support decentralized production and consumption using a wider range of energy sources. Smart grid technologies can solve some problems of today’s energy world. However, this utility of smart grids can only be realized when there is a change in users’ behavior. This dissertation aims to understand how electricity consumption behavior and smart grid application usage are linked with a habitual behavior approach. Apart from social norms and self-efficacy, a Habitual Behavior Framework was used to test the effects of mainly awareness, attitude, and intention on behavior over 703 respondents in Ankara. An Explanatory Factor Analysis, Structural Equation Modeling, and Logistic Regression Analysis results revealed that awareness and attitude have significant effects on electricity consumption behavior with smart appliances usage. Besides, Logistic Regression results show us the main target groups in society to engage in a program to adopt smart grid applications at the demand side.

Subject Keywords

Household electricity consumption behavior, Habitual behavior framework, Smart grid applications

URI

https://hdl.handle.net/11511/106312

Collections

Graduate School of Natural and Applied Sciences, Thesis