Design and implementation of an IoT-based smart energy monitoring system for residential buildings

Thesis Abstract

Abstract
The rapid advancement of technology has revolutionized the way we interact with our living spaces, particularly in the context of energy consumption and management. In this thesis, we present the design and implementation of an Internet of Things (IoT)-based smart energy monitoring system for residential buildings. The primary objective of this research is to develop a system that can effectively monitor and manage energy usage in real time, providing homeowners with valuable insights to optimize their energy consumption and reduce costs. The thesis begins with an introduction that outlines the background of the study, problem statement, objectives, limitations, scope, significance, structure of the thesis, and definition of key terms. A comprehensive review of relevant literature is presented in Chapter Two, highlighting existing technologies, methodologies, and best practices in the field of smart energy monitoring systems. Chapter Three discusses the research methodology employed in this study, including the system architecture, hardware and software components, data collection methods, and testing procedures. Various aspects of the system design and implementation are explored, such as sensor selection, communication protocols, data processing algorithms, and user interface development. Chapter Four presents a detailed analysis of the findings obtained from the implementation and testing of the IoT-based smart energy monitoring system. The discussion covers aspects such as system performance, data accuracy, energy consumption patterns, user feedback, and potential areas for improvement. Finally, Chapter Five provides a conclusion and summary of the project thesis, highlighting key findings, contributions to the field, practical implications, and recommendations for future research. The IoT-based smart energy monitoring system presented in this thesis demonstrates the potential to empower homeowners with valuable tools and insights to make informed decisions about their energy usage, ultimately leading to more sustainable and efficient residential buildings.