Thesis Abstract

The abstract for the project on "Integration of IoT and AI for Smart Building Energy Management" is as follows This thesis explores the integration of Internet of Things (IoT) and Artificial Intelligence (AI) technologies for the purpose of smart building energy management. The increasing global demand for energy efficiency and sustainability has led to a growing interest in utilizing advanced technologies to optimize energy consumption in buildings. IoT devices enable the collection of real-time data on energy usage, while AI algorithms offer the capability to analyze this data and make intelligent decisions to improve energy efficiency. The project begins with an introduction that provides background information on the importance of energy management in buildings and outlines the problem statement, research objectives, limitations, scope, significance, structure of the thesis, and key definitions of terms. A comprehensive literature review in Chapter Two examines existing research on IoT, AI, and their applications in energy management, highlighting the benefits and challenges associated with integrating these technologies. Chapter Three details the research methodology, including the selection of IoT devices, data collection methods, AI algorithms, and evaluation criteria. The methodology also addresses potential ethical considerations and data security measures. The findings of the study are presented in Chapter Four, discussing the performance of the integrated IoT and AI system in optimizing energy consumption, reducing costs, and improving overall building efficiency. The discussion covers key insights, challenges encountered, and recommendations for future research. Finally, Chapter Five presents the conclusion and summary of the project thesis, emphasizing the significance of integrating IoT and AI technologies for smart building energy management. The study demonstrates the potential of these technologies to revolutionize energy efficiency practices in buildings, leading to reduced environmental impact and long-term cost savings. Overall, this research contributes to the growing body of knowledge on sustainable energy management and provides valuable insights for industry practitioners, policymakers, and researchers in the field.

Thesis Overview