About This Special Issue
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In the face of escalating environmental challenges and the global push toward sustainable energy solutions, integrating Artificial Intelligence (AI) into green energy systems and environmental monitoring has emerged as a transformative frontier. This special issue aims to explore cutting-edge AI applications that address critical issues in energy efficiency, renewable energy optimization, and environmental sustainability.
The primary goal of this special issue is to gather innovative research that demonstrates how AI can revolutionize green energy technologies and environmental monitoring systems. We invite contributions that cover theoretical, experimental, and applied research across a range of disciplines, focusing on AI's potential to optimize resource utilization, enhance system efficiency, and mitigate environmental impacts.
Through this special issue, we aim to catalyze progress in sustainable energy solutions and environmental stewardship by showcasing the latest AI-driven innovations. Contributions will provide a roadmap for deploying AI in real-world applications, driving impactful changes toward a sustainable future. We welcome researchers from various disciplines to provide interdisciplinary perspectives on AI-Driven Innovations in Green Energy and Environmental Monitoring. Your contributions will play a crucial role in advancing knowledge in this field.
Potential topics include, but are not limited to:
- AI in renewable energy forecasting and optimization
- Smart grid management and predictive maintenance
- AI-driven environmental impact assessments
- Sensor networks and IoT for environmental data collection
- AI applications in carbon footprint reduction
- Climate modeling and prediction using machine learning
- AI-enhanced resource allocation in sustainable energy systems
- Use of AI in recycling and waste management
