Thesis Abstract

Abstract
The increasing demand for energy efficiency and sustainability in residential buildings has led to the development of innovative technologies for smart energy management systems. This thesis presents the design and implementation of a smart energy management system for residential buildings using Internet of Things (IoT) technology. The system aims to optimize energy consumption, improve energy efficiency, and reduce electricity costs for homeowners. The research begins with an introduction to the background of the study, highlighting the importance of energy management in residential buildings and the challenges faced in achieving optimal energy efficiency. The problem statement identifies the need for a smart energy management system that can intelligently monitor and control energy usage in real-time. The objectives of the study include designing a system that integrates IoT devices, sensors, and data analytics to enable efficient energy management. The limitations of the study are also discussed, acknowledging potential constraints such as budget, time, and technical constraints. The scope of the study outlines the specific focus areas of the research, including the design and implementation of the energy management system and the evaluation of its performance. The significance of the study lies in its potential to contribute to sustainable energy practices, reduce carbon emissions, and improve the overall quality of life for residents. The structure of the thesis is presented, outlining the organization of chapters and key sections. The definition of terms provides clarity on key concepts and terminology used throughout the thesis. Chapter two presents a comprehensive literature review on smart energy management systems, IoT technology, and related research studies. The review explores existing technologies, methodologies, and best practices in the field of energy management for residential buildings. Chapter three details the research methodology employed in designing and implementing the smart energy management system. The methodology includes system design, sensor deployment, data collection, analysis, and system evaluation. Chapter four presents an in-depth discussion of the findings from the implementation of the energy management system. The discussion covers system performance, energy savings achieved, user feedback, and potential areas for improvement. Chapter five concludes the thesis with a summary of key findings, implications of the research, and recommendations for future work. The conclusion highlights the significance of the smart energy management system in promoting energy efficiency, sustainability, and cost savings for residential buildings. In conclusion, the design and implementation of a smart energy management system for residential buildings using IoT technology offer a promising solution to enhance energy efficiency and sustainability. This research contributes to the growing body of knowledge on smart energy management systems and provides practical insights for homeowners, energy providers, and policymakers seeking to promote sustainable energy practices.

Thesis Overview