Aims and scope
Intelligent systems for the energy, mobility, and infrastructure of cities.
Artificial Intelligence for Sustainable Cities (AIFSC) is a multidisciplinary, peer-reviewed open access journal dedicated to advancing research and innovation at the intersection of artificial intelligence, engineering, and sustainable urban development. The journal addresses critical challenges facing modern cities, from climate change and resource management to mobility, infrastructure, and data governance, and explores how intelligent systems can enable more resilient, efficient, and inclusive urban environments. AIFSC provides a platform for high-quality reviews, original research articles, and case studies that advance theory and practice in applying AI and data-driven technologies for sustainability.
Topics include, but are not limited to:
- AI for Energy Management and Smart Grids
- Intelligent Building Systems and Automation
- Sustainable Urban Planning and Design
- Machine Learning for Environmental Monitoring
- AI-driven Waste and Water Management
- Intelligent Transport and Mobility Systems
- AI in Construction, Materials, and Civil Engineering
- Robotics and Automation for Green Infrastructure
- Data Analytics for Climate and Resource Optimization
- Digital Twins and IoT for Sustainable Cities
- AI Governance, Ethics, and Policy in Smart Urban Systems
- AI for Disaster Prediction, Adaptation, and Resilience
- Edge Computing and Sensor Networks for Urban Systems
- Human-AI Collaboration for Sustainable Decision-Making