Artificial Intelligence in Thermal Science and Engineering Progress (AITSEP)
Artificial Intelligence in Thermal Science and Engineering Progress (AITSEP) publishes original, high-quality research at the intersection of artificial intelligence and thermal science, spanning the full spectrum from fundamental thermodynamic investigations to advanced, AI-driven engineering applications. The journal addresses global challenges such as urbanisation, smart-city development, climate change, resilient agri-food systems, and the urgent need to maximise energy efficiency and sustainability.
AITSEP emphasises the transformative role of artificial intelligence, machine learning, and data-driven methods in modelling, optimisation, control, and decision-making across thermal and energy systems. Articles should be of direct relevance to industry, policymakers, academia, and practicing engineers.
The journal welcomes contributions related to all types of energy systems conventional, renewable, emerging, hybrid, decentralised, and fully integrated networks while highlighting AI-enabled innovation and intelligent system design. It also recognises the growing importance of policy, regulatory, and strategic frameworks in shaping the deployment and societal adoption of intelligent thermal technologies.
AI & Machine Learning
Data-driven modeling, predictive algorithms, deep learning architectures, and automated control for thermodynamic systems.
Thermal & Energy Systems
Conventional, renewable, hybrid, and decentralized energy networks engineered for maximum sustainability.
Global Impact & Sustainability
Smart cities, urban resilience, climate change mitigation, and energy efficiency for future infrastructures.
Policy & Strategic Frameworks
Regulatory frameworks, techno-economic assessments, and strategic roadmaps shaping societal technology adoption.
Journal Insights & Analytics
Explore publication speed, citation trends, impact metrics, and global readership analytics.