Intelligent IoT Systems for Green Computing: Machine Learning-Based Resource Optimization and Energy Efficiency

Abstract: The integration of the Internet of Things (IoT) and Machine Learning (ML) plays a vital role in advancing green computing by improving energy efficiency, optimizing resource utilization, and supporting sustainable practices. IoT devices collect real-time data, while ML algorithms analyze this data to enable intelligent decision-making in areas such as energy management, predictive maintenance, HVAC optimization, smart agriculture, and waste management. Although challenges such as data privacy, scalability, resource constraints, and interoperability remain, emerging technologies like edge computing, federated learning, and AI-driven sustainability solutions offer promising future opportunities. Overall, the combination of IoT and ML can significantly reduce environmental impact and improve operational efficiency, contributing to the goals of green computing and sustainable development.

Keywords: IoT, Machine Learning, Green Computing, Sustainability, Energy Efficiency, Smart Cities, Predictive Maintenance, Smart Agriculture, Waste Management, Edge Computing.