ICAIS 2025 invites researchers, practitioners, and industry experts to submit original, high-
quality research articles that contribute to the intersection of artificial intelligence, smart
energy, and information systems. The conference aims to enable research collaboration, and
the exchange of innovative ideas to address the pressing challenges and opportunities in this
rapidly evolving field.
Track 1: Intelligent Energy Systems and Information Technology
- AI optimization of energy grids with advanced information systems
- Data Driven Smart grid technologies and applications
- Blockchain-based energy trading and transaction management
- Cloud-based platforms for energy management and optimization
- Big data analytics for energy consumption patterns, forecasting, and demand response
- Digital and Multimedia systems for energy systems monitoring and visualization
- Computer networks and IoT for energy infrastructure connectivity
- Cybersecurity and privacy considerations in energy information systems
- Software engineering methodologies for energy management applications
Track 2: AI Applications in Energy Management and Information Systems
- AI-powered energy consumption forecasting and demand response management
- Machine learning for energy optimization in buildings and industrial facilities
- Deep learning for anomaly detection, fault diagnosis, and predictive maintenance
- Natural language processing for energy-related information retrieval and analysis
- Computer vision for industrial monitoring and asset management
- Reinforcement learning for energy control and optimization
- Autonomous robotics for infrastructure maintenance and inspection
- Human-computer interaction for developing smart and user-friendly interfaces
- Integration of AI and information systems for sustainable and resilient energy
solutions
