Thesis Abstract

The increasing demand for energy efficiency and sustainability in residential buildings has led to the development of various smart energy management systems. This thesis presents the design and implementation of a smart energy management system tailored for residential buildings, aimed at optimizing energy consumption, reducing costs, and promoting environmental conservation. The system incorporates advanced technologies such as Internet of Things (IoT), machine learning algorithms, and data analytics to monitor, control, and optimize energy usage in real-time. The abstract begins by introducing the importance of energy management in residential buildings and the challenges associated with traditional methods. The background of the study highlights the current trends in smart energy management systems and the need for a customized solution for residential buildings. The problem statement identifies the inefficiencies in energy consumption in residential buildings and the lack of personalized energy management systems. The objectives of the study focus on designing a system that can accurately monitor energy usage, provide real-time feedback to users, and optimize energy consumption based on user preferences and external factors. The limitations of the study are discussed, including the constraints in implementing the system on a large scale and the potential challenges in data collection and analysis. The scope of the study outlines the specific components and functionalities of the smart energy management system, such as smart meters, energy monitoring devices, and user interfaces. The significance of the study emphasizes the potential benefits of the system in terms of energy savings, cost reduction, and environmental impact. The structure of the thesis is presented, detailing the organization of the chapters and the flow of information throughout the document. The definition of terms clarifies key concepts and terminology used in the study, ensuring a common understanding among readers. The literature review explores existing research and technologies related to smart energy management systems, providing a comprehensive understanding of the current state-of-the-art in the field. The research methodology outlines the approach taken to design and implement the smart energy management system, including data collection methods, system architecture design, and testing procedures. The chapter on discussion of findings presents the results of the system implementation, including energy consumption patterns, user feedback, and system performance metrics. The conclusion summarizes the key findings of the study, highlights the contributions to the field, and offers recommendations for future research. In conclusion, the design and implementation of a smart energy management system for residential buildings offer a promising solution to address the challenges of energy inefficiency and environmental impact in the built environment. By leveraging advanced technologies and data-driven approaches, this system has the potential to revolutionize energy management practices and contribute to a more sustainable future.

Thesis Overview