Thesis Abstract

Abstract
The rapid advancement of technology has led to the emergence of smart homes, where various devices and appliances are interconnected to enhance comfort, convenience, and energy efficiency. In this context, the design and implementation of an Intelligent Energy Management System (IEMS) using the Internet of Things (IoT) technology for smart homes have gained significant attention. This thesis focuses on exploring the development of an IEMS that can efficiently monitor and control energy consumption in smart homes, ultimately leading to reduced energy costs and environmental impact. The thesis begins with an introduction to the concept of smart homes and the significance of energy management systems in enhancing sustainability and efficiency. The background of the study provides an overview of the existing technologies and research in the field of IoT-based energy management systems. The problem statement highlights the challenges related to energy consumption in traditional homes and the need for innovative solutions to address these issues. The objectives of the study include the design and implementation of an IEMS that can optimize energy usage, enhance user comfort, and provide real-time monitoring and control capabilities. The limitations of the study are also discussed, outlining the constraints and challenges faced during the research process. The scope of the study defines the boundaries and focus areas of the research, while the significance of the study emphasizes the potential impact of the proposed IEMS on energy efficiency and sustainability in smart homes. The structure of the thesis is outlined to provide a roadmap of the chapters and sections that follow, including the methodology, literature review, findings, and conclusion. Definitions of key terms used throughout the thesis are also provided to ensure clarity and understanding of the concepts discussed. The literature review chapter critically examines existing research and technologies related to IoT-based energy management systems and smart home automation. Ten key areas of focus are identified, including IoT architecture, energy monitoring devices, control algorithms, user interfaces, and communication protocols. The research methodology chapter describes the approach taken to design, implement, and evaluate the proposed IEMS. Eight key components are discussed, including system requirements analysis, hardware and software selection, system integration, testing and validation, and user feedback collection. The discussion of findings chapter presents the results and analysis of the implemented IEMS, including energy consumption data, system performance metrics, user feedback, and potential improvements. The chapter also explores the implications of the findings on energy efficiency, user experience, and future research directions. In conclusion, the thesis summarizes the key findings, contributions, and implications of the research. The significance of the proposed IEMS in promoting energy efficiency and sustainability in smart homes is highlighted, along with recommendations for further research and development in the field. Overall, this thesis contributes to the growing body of knowledge on IoT-based energy management systems and their application in smart home environments.

Thesis Overview