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Introduction:

With the increasing popularity of smart home technology, the demand for efficient energy management systems is also on the rise. Edge artificial intelligence (AI) has emerged as a promising solution to optimize energy consumption in smart homes. By leveraging AI algorithms at the edge devices, smart home systems can make real-time decisions to minimize energy waste and reduce electricity costs. This thesis explores the application of Edge AI for smart home energy management and its potential benefits in improving energy efficiency.

Table of Contents:

Chapter 1: Introduction
1.1 Introduction
1.2 Background of Study
1.3 Problem Statement
1.4 Objective of Study
1.5 Limitation of Study
1.6 Scope of Study
1.7 Significance of Study
1.8 Structure of the Thesis
1.9 Definition of Terms

Chapter 2: Literature Review
2.1 Overview of Smart Home Energy Management
2.2 Edge Computing and AI in Smart Homes
2.3 Existing Edge AI Solutions for Energy Management
2.4 Benefits of Edge AI in Smart Home Energy Management
2.5 Challenges and Limitations of Edge AI in Smart Homes
2.6 Integration of Edge AI with Renewable Energy Sources
2.7 Case Studies of Edge AI Implementation in Smart Homes
2.8 Comparison of Edge AI vs. Cloud-Based Energy Management Systems
2.9 Future Trends in Edge AI for Smart Homes
2.10 Gaps in Existing Research on Edge AI for Smart Home Energy Management

Chapter 3: Research Methodology
3.1 Research Design
3.2 Data Collection Methods
3.3 Data Analysis Techniques
3.4 Sampling Strategy
3.5 Study Variables
3.6 Research Instruments
3.7 Ethical Considerations
3.8 Timeframe for the Study

Chapter 4: Findings and Discussion
4.1 Overview of Data Collected
4.2 Analysis of Findings
4.3 Comparison with Existing Literature
4.4 Implications of Findings
4.5 Recommendations for Future Research
4.6 Practical Applications of Research Findings
4.7 Limitations of the Study

Chapter 5: Conclusion
5.1 Summary of Findings
5.2 Conclusions Drawn
5.3 Contributions to the Field
5.4 Practical Implications
5.5 Suggestions for Future Research
5.6 Final Remarks

Thesis Overview:

The advancement of Edge AI technology has revolutionized energy management in smart homes. This thesis investigates the potential of Edge AI for smart home energy management, focusing on its benefits, challenges, and implications. The literature review explores existing research on Edge AI in smart homes, highlighting the gaps and opportunities for further study. The research methodology outlines the approach used to collect and analyze data, while the findings and discussion chapter presents the results of the study and their significance. The conclusion summarizes the key findings, draws conclusions, and provides recommendations for future research and practical applications in the field. This thesis contributes to the growing body of knowledge on Edge AI for smart home energy management, offering insights into its potential to optimize energy consumption and reduce environmental impact.

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