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Artificial Intelligence for Sustainable Cities cover

Artificial Intelligence for Sustainable Cities

Intelligent systems for the energy, mobility, and infrastructure of cities.

ISSN 2979-1464 (online)

93 days

Submission to publication

Average across published papers

AIFSC provides an interdisciplinary platform for researchers, engineers, policymakers, and practitioners to explore how AI can transform the design, planning, and management of cities. The journal welcomes original research, reviews, technical papers, and case studies that address real-world challenges in areas such as:

Read the full announcementAll announcements

Articles

All articlesVolume 1 (2026)
  1. Review

    Artificial Intelligence for Net-Zero and Climate-Resilient Sustainable Cities: Technologies, Challenges, and Future Perspectives

    Volume 1 · pp. 221–252 · 15 October 2026 · PDF

    Afre, R.A., Thakre, B.B., Panchal, R. and Kadam, S.

  2. Technical Article

    Quantum Sociodynamics for AI-Supported Sustainable City Transitions: A Gauge-Covariant Method for Modelling Symbolic Mediation and Public Trust

    Volume 1 · pp. 202–220 · 13 October 2026 · PDF

    Talut, M.

  3. Technical Article

    AI-Based Occupancy Detection for HVAC-Relevant Load Estimation in a University Building

    Volume 1 · pp. 187–201 · 30 June 2026 · PDF

    Dwamena, R., Zhang, W., Tien, P., Calautit, J. and Sun, H.

  4. Technical Article

    Autonomous Coastal Waste Detection and Localization Using UAV

    Volume 1 · pp. 170–186 · 13 May 2026 · PDF

    Koyun, E., Çufalcı, N.H., Akdoğan, B. and Yerden, A.U.

  5. Technical Article

    Artificial Intelligence-Driven Smart Cities: A Framework for Addressing Contemporary Urban Challenges (Case Study: Baghdad)

    Volume 1 · pp. 157–169 · 6 May 2026 · PDF

    Raheem, M.I. and Raheem, M.I.

  6. Technical Article

    From Experiment to Deployment: An Integrated Framework for Predictive Modelling and Visualisation of Thermoelectric HVAC Systems

    Volume 1 · pp. 137–156 · 5 May 2026 · PDF

    Razak, T.R., Kutlu, C., Zheng, T., Jarimi, H., Su, Y., Riffat, S., Jayakumar, P. and Shah, D.

  7. Technical Article

    Artificial Intelligence-Powered Smart City Transformation: A Framework and Comparative Case Study Analysis

    Volume 1 · pp. 123–136 · 8 April 2026 · PDF

    Raheem, M. and Raheem, M.I.

  8. Technical Article

    AI-Driven Digital Twin Framework for Adaptive and Real-Time Structural Health Monitoring of Offshore Marine Structures

    Volume 1 · pp. 105–122 · 25 March 2026 · PDF

    Riffat, J., Nazari, K. and Samaei, S.R.

  1. Technical Article

    An AI-Based Hybrid Prophet–LSTM Model for Forecasting and Financial Optimisation in Sustainable Energy Grids

    Volume 1 · pp. 49–70 · 17 February 2026 · PDF

    Razak, T.R., Alaoui, A.E., Jarimi, H., Ul-Saufie, A.Z., Ismail, M.H. and Fuzi, M.F.M.

  2. Technical Article

    Cognitive Digital Twins for Climate-Resilient Building Energy Systems: Diagnosis-Informed Control under Extreme Thermal Stress

    Volume 1 · pp. 71–104 · 17 March 2026 · PDF

    Samaei, S.R. and Riffat, J.

  3. Technical Article

    Autonomous Coastal Waste Detection and Localization Using UAV

    Volume 1 · pp. 170–186 · 13 May 2026 · PDF

    Koyun, E., Çufalcı, N.H., Akdoğan, B. and Yerden, A.U.

  4. Technical Article

    Artificial Intelligence-Driven Smart Cities: A Framework for Addressing Contemporary Urban Challenges (Case Study: Baghdad)

    Volume 1 · pp. 157–169 · 6 May 2026 · PDF

    Raheem, M.I. and Raheem, M.I.

  5. Technical Article

    Combining Satellite Imagery and Spatial Analysis for Tracking Sustainable City Expansion in European Metropolises

    Volume 1 · pp. 26–48 · 16 February 2026 · PDF

    Jain, A., Alam, N. and Malakar, D.

  6. Technical Article

    Artificial Intelligence-Powered Smart City Transformation: A Framework and Comparative Case Study Analysis

    Volume 1 · pp. 123–136 · 8 April 2026 · PDF

    Raheem, M. and Raheem, M.I.

  7. Technical Article

    AI-Based Occupancy Detection for HVAC-Relevant Load Estimation in a University Building

    Volume 1 · pp. 187–201 · 30 June 2026 · PDF

    Dwamena, R., Zhang, W., Tien, P., Calautit, J. and Sun, H.

  8. Technical Article

    From Experiment to Deployment: An Integrated Framework for Predictive Modelling and Visualisation of Thermoelectric HVAC Systems

    Volume 1 · pp. 137–156 · 5 May 2026 · PDF

    Razak, T.R., Kutlu, C., Zheng, T., Jarimi, H., Su, Y., Riffat, S., Jayakumar, P. and Shah, D.

9 days

Submission to first decision

Editors' estimate

73 days

First decision to acceptance

Editors' estimate

11 days

Acceptance to publication

Editors' estimate

93 days

Submission to publication

Average across published papers

How we measure this

The editorial team

  • Editor-in-Chief

    Saffa Riffat, PhD

    University of Nottingham

  • Associate Editors3
  • Editorial Board Members25
  • Countries15
The full editorial board

What this journal publishes

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.

  • 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

Full aims and scope

Publishing with us

Article charge
£150
Peer review
Double anonymous
File we accept
Word .docx
Every article
A DOI, registered with Crossref

Guide for authors

About this journal

Title
Artificial Intelligence for Sustainable Cities
Published by
Caravel Press
ISSN
2979-1464 (online)
Access
Open access, free to read
Licence
CC BY 4.0
Copyright
Held by the author

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