Aims and Scope

AVE Trends in Intelligent Energy Letters (ATIEL) is a place where researchers, scientists, engineers, developers, planners, and policymakers can share important findings on new energy systems and uses.  The journal covers all aspects of energy, from making it and changing it to saving it, managing it, and making it better through technology.  We encourage submissions that focus on making systems more efficient with energy, having less of an impact on the environment, making better use of resources, cutting costs, and increasing system design and performance.  ATIEL supports research into both old and new energy technologies that encourages new ideas in all areas of energy.  The scope encompasses innovative technologies for renewable energy systems, smart grid integration, energy storage, upgraded thermal and electrical systems, and regulations for using energy in a way that is good for the environment.  The focus is on interdisciplinary approaches that connect engineering, science, and politics to encourage new ideas in smart energy solutions.  ATIEL is especially interested in studies that may be used in the real world to help solve present energy problems and shape the future of smart and sustainable energy systems.  We welcome both original research articles and thorough review papers. This is a place for high-quality academic and practical work.  Researchers are invited to submit research that demonstrates new technologies, advancements in modelling and simulation, innovative approaches to system improvement, and novel ideas for global energy policy reform.

Topics covered include:

• Renewable energy systems and technologies
• Smart grid integration and management
• Energy storage and battery innovations
• Advanced energy conversion systems
• Sustainable energy production and usage
• Thermal and electrical system optimization
• Energy efficiency and conservation methods
• Cost-effective energy solutions
• Intelligent energy management systems
• Environmental impact reduction strategies
• Hybrid and distributed energy systems
• AI and machine learning in energy applications
• Novel materials for energy applications
• Policy development for energy sustainability
• Modeling and simulation of energy systems
• Interdisciplinary approaches in energy research