1 Introduction

2 Literature Review  
2.1 Smart Homes and Energy Management Systems  
2.2 User Perception of SHEMS  
2.3 User Perception and User Behavior: Theoretical Framework  
2.4 Hybrid approach of structural equation modeling and machine learning algorithm  

3 Research Model

4 Empirical Setup  
4.1 Data Collection and Survey Design  
4.2 Data Analysis  

5 Results  
5.1 Socio-economic Data & Participants’ Smart Home Systems  
5.2 SEM Results  
5.3 Random Forest Results  
5.4 Participants’ energy consumption behavior  

6 Discussion  
6.1 Implications  
6.2 Limitations  
6.3 Future Research

7 Conclusions