Published Paper Details:

The integration of the Internet of Things (IoT) with machine learning (ML) has the potential to significantly advance green computing by optimizing resource usage, reducing energy consumption, and promoting sustainable practices. This paper explores the synergy between IoT and ML in various domains, such as energy management, predictive maintenance, HVAC optimization, smart agriculture, and waste management. We discuss the challenges and considerations in deploying these technologies, including data privacy, scalability, resource constraints, and interoperability. Future directions, such as edge computing, federated learning, AI-driven sustainable solutions, and the development of smart cities, are highlighted as key areas for further research and development. The findings suggest that the combined use of IoT and ML can drive substantial environmental benefits and operational efficiencies, supporting the broader goals of green computing and sustainability.