This study introduces a federated learning system for energy-harvesting sensors. It schedules training based on available renewable energy, reducing power consumption while enabling intelligent local analytics across sustainable IoT networks in rural and urban settings.

Amit Raghav Sharma, Jean Claude Laurent, Priya Meenakshi Desai, Carlos Manuel Gutierrez, Fatima Noor Al-Yazid

We propose a carbon-conscious serverless computing framework. It routes executions based on real-time regional carbon intensity data, supporting environmentally responsible deployment of event-based applications in multi-region public cloud infrastructures.

Emily Carter, Thomas Greene, Olivia Patterson, Rachel Hudson, James Bennett

This research presents an autonomous monitoring system for forests. Using solar-powered edge AI nodes and adaptive energy harvesting, it enables real-time biodiversity and wildfire surveillance without batteries, ensuring sustainable long-term deployment.

Chen Zhi Liang, Liu Tian Ming, Xu Hao Ren, Zhang Wei Long, Gao Ping Tao

We introduce an AI-based load forecasting model for microgrids. It optimizes renewable energy distribution in real-time, enhancing grid reliability and promoting sustainability in off-grid and hybrid rural electrification scenarios.

Neha Shalini Iyer, Jean Pierre Laurent, Priya Kavitha Ramesh, Taro Kenji Nakamura, Fatima Noor Al-Rahman

This paper presents a task scheduling model for mobile devices. It uses predictive thermal analytics to reassign tasks proactively, minimizing overheating, conserving battery life, and supporting greener computing in edge environments.

Chen Fang Zhi, Liu Cheng Hao, Gao Min Yu, Xu Qiang Wen, Zhang Ming Jie

We propose a pipeline for sustainable agri-tech systems. It scales compute resources and AI inference based on energy usage and emission forecasts, reducing environmental impact in large-scale agricultural data processing platforms.

Robert Simmons, Laura Whitmore, Emily Jensen, James Clarke, Sarah Bennett

This study develops a circular AI model for e-waste reduction. It forecasts failure points and guides reuse of healthy components, encouraging sustainable use of consumer electronics in line with circular economy goals.

Neha Rajan Mehta, Jean Louis Rousseau, Carlos Rodrigo Morales, Priya Harika Subramanian, Fatima Noor Al-Salim

This paper introduces a smart infrastructure platform powered by renewables. It employs AI for adaptive task scheduling, enabling resilient, energy-efficient public services in intelligent city deployments with minimal carbon impact.

Chen Rui Han, Zhang Ming Xiu, Liu Bo Zhen, Xu Tian Cheng, Gao Wen Jie