Manuscript Topics

This special issue highlights cutting-edge research at the intersection of artificial intelligence and sustainable energy systems. As the global demand for clean, efficient, and resilient power sources intensifies, AI is playing an increasingly vital role in optimizing energy generation, distribution, and consumption. From predictive maintenance of renewable infrastructure to intelligent grid management and real-time energy forecasting, AI-driven innovations are transforming the landscape of sustainable power. We invite contributions that explore novel algorithms, data-driven approaches, and interdisciplinary solutions aimed at accelerating the transition toward a more sustainable and intelligent energy future.

Themes for the Special Issue

AI for Renewable Energy Forecasting
Solar irradiance and wind speed prediction
Load forecasting for variable energy sources

Smart Grid Optimization and Management
Demand-side management using AI
Fault detection, localization, and self-healing grids

AI-Driven Energy Storage and Battery Management
Optimization of battery life and usage
Intelligent energy dispatch strategies

Predictive Maintenance and Asset Management
Machine learning for anomaly detection in renewable infrastructure
Digital twins for power systems

AI in Energy Efficiency and Demand Response
Building energy optimization
Real-time consumption pattern analysis
 
AI for Energy System Planning and Decision Support
Multi-objective optimization in energy planning
Policy modeling and simulation with AI tools

Edge AI and IoT in Sustainable Energy Systems
Decentralized intelligence for local energy networks
Energy-aware sensor networks
 
AI for Integration of Distributed Energy Resources (DERs)
Virtual power plants
Microgrid coordination and control
 
Ethics, Security, and Transparency in AI-Energy Systems
Explainable AI in critical infrastructure
Cybersecurity challenges in AI-based energy systems
 
Climate Impact and AI for Carbon Reduction Strategies
AI for emission tracking and reporting
Optimizing the carbon footprint of energy production

Instruction for Authors
http://www.aimspress.com/ctr/news/solo-detail/instructionsforauthors
Please submit your manuscript to online submission system
https://aimspress.jams.pub/