Energy and AI
Energy and AI provides a fast and authoritative open access platform to disseminate the latest research progress in the cross-disciplinary area of energy and artificial intelligence (AI). The journal focuses on innovative applications of AI that address the critical challenges in energy systems, energy materials, energy chemistry, energy utilization & conversion, and energy & society, as well as other important pressing issues in energy research. The journal also considers papers on the development of bespoke AI technologies and methodologies for advancing energy, decarbonization and sustainable development, such as data-driven approaches, optimization algorithms and AI ethics.
Goal / Target audience
Energy and AI aims to become a leading journal for cutting-edge research at the interface between energy and AI. Papers purely focusing on a single aspect of energy or AI are not suitable for the journal.
Publisher
Elsevier BV
Topics/ Content
Automation of science discovery related to energy materials and chemistry
Digital twinning or big data analytics of complex energy processes/systems
Data-driven design of energy materials, devices and systems
Internet-of-things and cyber-physical energy systems
AI for human factors in energy related activities
Virtual reality applied to energy and environment
Autonomous systems for energy efficiency maximalization
Hardware for data collections in energy systems
Data Science for energy applications
Hybrid data-driven and physical modelling for energy related problems
Intelligent control of energy systems
AI, energy and society
AI safety, reliability and ethics within energy applications
AI for life-cycle assessment or energy and decarbonization roadmaps
Energy robotics
ISSN
26665468
More information
https://www.sciencedirect.com/journal/energy-and-ai

