Thesis Abstract

Abstract
The rapid advancement of technology has led to the emergence of smart home systems that offer convenience and energy efficiency to homeowners. In this context, the development of an Intelligent Home Energy Management System (IHEMS) using Internet of Things (IoT) technology has become a key area of research. This thesis presents a comprehensive study on the design, implementation, and evaluation of an IHEMS that aims to optimize energy consumption in residential buildings. The thesis begins with an introduction to the concept of smart homes and the importance of energy management in the current scenario. The background of the study provides an overview of existing energy management systems and highlights the need for a more intelligent and automated approach. The problem statement identifies the challenges faced in traditional energy management practices, such as lack of real-time monitoring and inefficient utilization of resources. The objectives of the study include designing an IHEMS that can monitor and control energy usage in different appliances, optimizing energy consumption based on user preferences and environmental factors, and providing real-time feedback to users. The limitations of the study are also discussed, including the availability of resources and the complexity of integrating various IoT devices. The scope of the study covers the design and implementation of the IHEMS, including the selection of IoT devices, development of communication protocols, and integration with existing home automation systems. The significance of the study lies in its potential to reduce energy costs, minimize environmental impact, and enhance user comfort and convenience. The structure of the thesis is organized into five chapters, with Chapter 1 providing an introduction to the topic, background information, problem statement, objectives, limitations, scope, significance, and definition of terms. Chapter 2 presents a comprehensive literature review on existing energy management systems, IoT technologies, and smart home applications. Chapter 3 outlines the research methodology, including data collection methods, system design, implementation strategies, and evaluation techniques. Chapter 4 delves into the discussion of findings, analyzing the performance of the IHEMS in terms of energy savings, user satisfaction, and system reliability. Various case studies and simulations are presented to demonstrate the effectiveness of the system in real-world scenarios. Finally, Chapter 5 offers a conclusion and summary of the thesis, highlighting the key findings, contributions, and future research directions. In conclusion, the development of an Intelligent Home Energy Management System using IoT technology represents a significant advancement in the field of smart home technology. The thesis aims to contribute valuable insights and practical solutions to the challenges of energy management in residential buildings, paving the way for a more sustainable and efficient living environment.

Thesis Overview