Thesis Abstract

Abstract
This thesis presents the design and implementation of a Smart Home Energy Management System (SHEMS) utilizing Internet of Things (IoT) technology. The objective of this research is to develop an innovative system that enables homeowners to monitor and control their energy consumption in real-time, leading to increased energy efficiency and cost savings. The study begins with a comprehensive literature review on IoT, smart home technologies, energy management systems, and related concepts. Chapter One provides an introduction to the research topic, discussing the background of the study, problem statement, objectives, limitations, scope, significance, structure of the thesis, and definition of terms. Chapter Two presents a detailed literature review covering ten key aspects related to IoT technology, energy management systems, smart homes, and relevant research studies. Chapter Three outlines the research methodology employed in this study, including the research design, data collection methods, system architecture, hardware, and software components, simulation tools, and testing procedures. The chapter also discusses the ethical considerations and limitations of the research methodology. Chapter Four presents a thorough discussion of the findings obtained from the implementation of the SHEMS using IoT technology. The results include system performance metrics, energy consumption data analysis, user feedback, and comparison with existing energy management systems. The chapter also addresses any challenges faced during the design and implementation process. Finally, Chapter Five offers a comprehensive conclusion and summary of the thesis, highlighting the key findings, implications of the research, contributions to the field, recommendations for future research, and the overall significance of the Smart Home Energy Management System using IoT technology. This research contributes to the growing field of smart home technology and energy management systems by providing a practical and efficient solution for homeowners to monitor and optimize their energy usage. The SHEMS offers a user-friendly interface, real-time data monitoring, and automated control features to enhance energy efficiency and promote sustainable living practices. The findings of this study have implications for both residential users and energy service providers, paving the way for a more sustainable and energy-efficient future.

Thesis Overview

The project titled "Design and Implementation of a Smart Home Energy Management System using Internet of Things (IoT) Technology" aims to address the increasing demand for efficient energy consumption in residential settings. With the rapid advancement of IoT technology, there is a growing opportunity to develop smart systems that can optimize energy usage within homes. This research project focuses on designing and implementing a sophisticated energy management system that leverages IoT devices to monitor, control, and optimize energy consumption in real-time. The smart home energy management system will incorporate various IoT devices such as smart meters, sensors, and actuators to collect data on energy usage patterns, weather conditions, and occupant behavior. By analyzing this data, the system will be able to intelligently adjust energy consumption based on factors like time of day, occupancy status, and external environmental conditions. This proactive approach to energy management aims to reduce overall energy waste, lower utility costs, and promote sustainability. Key components of the research will include developing a user-friendly interface for homeowners to interact with the energy management system, implementing communication protocols for seamless data exchange between IoT devices, and integrating machine learning algorithms for predictive energy optimization. Through a combination of hardware and software components, the system will be capable of learning from user preferences and dynamically adjusting energy settings to meet specific needs and preferences. The research overview will delve into the technical details of the system architecture, the integration of IoT technologies, the implementation of energy optimization algorithms, and the overall impact on residential energy efficiency. By combining cutting-edge IoT technology with energy management principles, this project aims to contribute to the advancement of smart home solutions that benefit both homeowners and the environment.