ICETETM 25_AI and Iot-Driven Green Energy Solutions: Challenges, Opportunities, and Future Trends

The integration of Artificial Intelligence (AI) and the Internet of Things (IoT) is revolutionizing energy conservation by enabling smarter, data-driven en- ergy management systems. This chapter explores AI and IoT-driven green energy solutions, highlighting their role in optimizing energy consumption, improving system efficiency, and promoting sustainability. AI-powered predictive analytics and machine learning techniques facilitate real-time decision-making, while IoT- enabled smart sensors and connected devices ensure precise energy monitoring and control. These technologies are instrumental in transforming smart grids, in- dustrial automation, and intelligent building management. However, challenges such as cybersecurity threats, interoperability issues, and high implementation costs hinder widespread adoption. Emerging advancements, including blockchain, edge computing, and federated learning, are poised to address these limitations and enhance the effectiveness of AI-IoT integration in energy systems. This chap- ter provides a comprehensive analysis of the challenges, opportunities, and future trends in AI and IoT-driven green energy solutions, emphasizing the need for in- terdisciplinary collaboration to achieve sustainable energy goals.