Thesis Abstract

Abstract
The increasing demand for efficient energy management systems in residential buildings has prompted the development of innovative solutions leveraging Internet of Things (IoT) technology. This thesis presents the design and implementation of an Intelligent Home Energy Management System (I-HEMS) that integrates IoT devices and data analytics to optimize energy consumption and enhance user comfort. The research focuses on addressing the challenges associated with traditional energy management systems by leveraging the capabilities of IoT devices to provide real-time monitoring, control, and analysis of energy usage within a smart home environment. The thesis begins with an introduction that highlights the significance of energy management in residential buildings and the potential benefits of utilizing IoT technology. The background of the study provides an overview of existing energy management systems and the limitations they face in meeting the evolving needs of modern households. The problem statement identifies the gaps in current systems and underscores the need for a more intelligent and efficient approach to home energy management. The objectives of the study are outlined to guide the research process, including the development of a prototype I-HEMS system, the evaluation of its performance in real-world settings, and the analysis of the data collected to assess its effectiveness. The limitations of the study are acknowledged, including constraints related to budget, time, and the scope of implementation. The scope of the study delineates the boundaries within which the research will be conducted, focusing on a specific set of IoT devices and energy management algorithms. The significance of the study lies in its potential to contribute to the advancement of smart home technologies and sustainable energy practices. By developing an intelligent energy management system that leverages IoT technology, this research aims to empower homeowners with greater control over their energy consumption, leading to cost savings and environmental benefits. The structure of the thesis is outlined to provide a roadmap for the reader, detailing the chapters and sub-sections that will be covered in the document. Chapter two presents a comprehensive review of the literature related to IoT applications in energy management, smart home technologies, and data analytics. The review synthesizes existing research findings and identifies key trends, challenges, and opportunities in the field. Chapter three details the research methodology employed in the design and implementation of the I-HEMS system, including the selection of IoT devices, data collection methods, and performance evaluation metrics. Chapter four provides a detailed discussion of the findings derived from the implementation and testing of the I-HEMS prototype. The analysis includes an assessment of energy consumption patterns, user feedback, and system performance metrics. The implications of the findings are discussed in the context of energy efficiency, user satisfaction, and future research directions. Chapter five presents the conclusion and summary of the thesis, highlighting the key findings, contributions, and limitations of the study. Recommendations for further research and practical applications of the I-HEMS system are provided to guide future developments in the field of intelligent home energy management. In conclusion, the development of an Intelligent Home Energy Management System using Internet of Things technology represents a significant step towards achieving sustainable and efficient energy practices in residential buildings. By leveraging IoT devices and data analytics, the I-HEMS system offers a promising solution to the challenges of traditional energy management systems, providing homeowners with the tools they need to optimize energy usage, reduce costs, and contribute to a greener future.

Thesis Overview