Thesis Abstract

Abstract
This thesis presents a comprehensive study on the design and implementation of a Smart Energy Monitoring and Management System for Residential Buildings. The focus of this research is to develop an innovative system that can monitor and manage energy consumption in residential buildings efficiently. With the increasing importance of sustainable energy practices and the rising demand for smart home technologies, the development of such a system holds significant promise in promoting energy efficiency and reducing overall energy consumption in residential settings. The research begins with a thorough examination of the current state of energy monitoring and management systems, highlighting the existing challenges and limitations faced in the residential sector. By exploring the background of the study, the research establishes the need for a more advanced and integrated system that can provide real-time data on energy usage and enable homeowners to make informed decisions to optimize their energy consumption. To address the identified problems, the objectives of the study are outlined, focusing on the design and implementation of a Smart Energy Monitoring and Management System that incorporates cutting-edge technologies such as Internet of Things (IoT), data analytics, and smart sensors. The limitations and scope of the study are also defined to provide a clear understanding of the research boundaries and constraints. The significance of the study lies in its potential to revolutionize the way energy is managed in residential buildings, leading to reduced energy costs, increased sustainability, and improved overall quality of life for homeowners. By implementing such a system, residents can track their energy usage patterns, identify potential areas for improvement, and implement energy-saving strategies effectively. The structure of the thesis is organized into five main chapters, including an introduction that lays the foundation for the research, a comprehensive literature review that examines existing energy monitoring systems, a detailed methodology that outlines the research approach and data collection methods, a discussion of findings that presents the results of the study, and a conclusion that summarizes the key findings and implications of the research. In conclusion, the design and implementation of a Smart Energy Monitoring and Management System for Residential Buildings have the potential to significantly impact energy efficiency and sustainability in residential settings. This research contributes to the growing body of knowledge on smart energy systems and provides valuable insights for future research and development in this field.

Thesis Overview

Research Overview: The project titled "Design and Implementation of a Smart Energy Monitoring and Management System for Residential Buildings" aims to address the increasing demand for energy efficiency and sustainability in residential buildings. With the rise in energy consumption and the need for effective energy management, there is a growing importance for the development of innovative solutions to monitor and optimize energy usage in residential settings. This research project focuses on the design and implementation of a smart energy monitoring and management system that leverages advanced technologies such as Internet of Things (IoT), data analytics, and automation to enable real-time monitoring, analysis, and control of energy consumption in residential buildings. The system will provide users with insights into their energy usage patterns, identify areas of inefficiency, and offer recommendations to optimize energy consumption and reduce overall energy costs. The project will involve the development of a scalable and adaptable system architecture that integrates various sensors, meters, and communication devices to collect and transmit energy data to a centralized platform. This platform will utilize data analytics techniques to process the collected data and generate actionable insights for users to make informed decisions regarding their energy usage. Key components of the system will include smart meters for real-time energy monitoring, smart plugs for controlling electrical devices remotely, and a user-friendly interface for easy access to energy consumption data and recommendations. The system will also incorporate machine learning algorithms to predict future energy usage patterns and suggest personalized energy-saving strategies for users. Through the implementation of this smart energy monitoring and management system, residential building owners and occupants will have the opportunity to track their energy usage in real-time, identify energy wastage, and implement energy-saving measures to reduce their environmental impact and lower energy bills. The research outcomes are expected to contribute to the advancement of smart building technologies and promote sustainable energy practices in residential environments.