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Introduction

The increasing demand for energy efficiency and sustainability has led to the development of various technologies aimed at reducing energy consumption in buildings. Among these technologies, the use of Artificial Intelligence (AI) in building energy management systems has shown great promise in optimizing energy usage while maintaining occupant comfort. This thesis focuses on the design of a smart building energy management system using AI to improve energy efficiency and reduce operational costs.

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 Building Energy Management Systems
2.2 AI Technologies in Building Energy Management
2.3 Benefits of AI in Building Energy Management
2.4 Challenges and Limitations of AI in Building Energy Management
2.5 Case Studies of AI-based Building Energy Management Systems
2.6 Current Trends in AI for Building Energy Management
2.7 Integration of Renewable Energy Sources in AI-based Systems
2.8 Regulation and Policies on AI in Building Energy Management
2.9 Future Prospects and Research Directions
2.10 Summary of the Literature Review

Chapter 3: System Design and Methodology

3.1 System Architecture
3.2 Data Collection and Preprocessing
3.3 Feature Selection and Engineering
3.4 AI Algorithms Selection
3.5 Model Training and Validation
3.6 Integration with Building Automation Systems
3.7 User Interface Design
3.8 System Testing and Evaluation

Chapter 4: System Implementation

4.1 Hardware and Software Requirements
4.2 Data Acquisition and Storage
4.3 AI Model Deployment
4.4 Integration with Existing Building Systems
4.5 Performance Monitoring and Optimization
4.6 User Training and Support
4.7 System Maintenance and Updates
4.8 Cost Analysis

Chapter 5: Conclusion and Summary

5.1 Summary of Findings
5.2 Contributions to the Field
5.3 Implications for Practice
5.4 Recommendations for Future Research
5.5 Conclusion

Thesis Overview

The design of a smart building energy management system using AI is a critical aspect of modern building operations. This thesis aims to explore the use of AI technologies in building energy management to optimize energy usage, reduce costs, and improve sustainability. The literature review will provide an overview of existing AI-based systems and their benefits, challenges, and limitations. The system design and methodology chapter will detail the architecture, data collection, AI algorithm selection, and system testing. The system implementation chapter will cover hardware and software requirements, data acquisition, AI model deployment, and system integration. In the conclusion and summary chapter, the findings, contributions, implications, and future research recommendations will be discussed. This thesis will contribute to the advancement of smart building energy management systems and help guide future research in this field.

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