Artificial Intelligence and Fractional Modelling for Energy Systems

Dear Colleagues,

This is a cordial invitation to scholars and researchers to contribute to our Special Issue dedicated to the crucial and increasingly relevant intersection of artificial intelligence (AI), fractional modelling, and Edge AI in the context of energy systems.

AI is proving to be a transformative force across countless scientific and technological domains. Its ability to enable physical systems to operate autonomously, adapt dynamically, and optimise their performance over time opens up unprecedented possibilities. In this Special Issue, we aim to explore in depth how these capabilities can revolutionise the energy sector, addressing complex challenges and unlocking new efficiencies.

Mathematical modelling based on fractional calculus offers powerful tools to accurately describe anomalous behaviour and inherent memory in many physical systems, including those related to energy. The combination of the sophistication of fractional modelling with the learning and adaptive capabilities of AI presents a promising path for a deeper understanding and management of these systems.

In this context, Edge AI emerges as a crucial paradigm. By bringing processing power and artificial intelligence closer to the data source—at the edge of the network—real-time decision-making is enabled, latency is reduced, security and privacy are enhanced, and bandwidth is optimised. For the energy sector, this implies the potential for more resilient, efficient, and autonomous systems, from the intelligent management of power grids and microgrids to the optimisation of renewable resources and predictive maintenance of critical infrastructure.

This Special Issue aims to gather original and innovative contributions that explore the application of AI and fractional modelling, with a particular emphasis on Edge AI, to address the challenges and opportunities in energy systems. We are especially interested in works that present the following:

• Novel integrations of embedded AI in autonomous energy devices and systems.
• Transformative AI-driven solutions to optimise industrial processes, the intelligent management of energy infrastructure, and resource optimisation.
• Advanced models for self-repair and predictive maintenance through the application of AI and fractional modelling techniques.
• Digital twin environments to model and anticipate the behaviour of complex energy systems.
• Applications of AI for the monitoring and conservation of energy ecosystems, as well as for sustainable resource management.
• Innovative developments in circular economy models and waste management in the energy sector powered by AI.
• Research into energy-efficient algorithms and sustainable hardware for the deployment of AI in distributed energy systems.

We invite you to submit your original proposals that involve multiple disciplines and focus on the modelling, implementation, and analysis of innovative solutions. We encourage you to address complex problems and explore the untapped potential of AI and fractional modelling, with Edge AI as a key enabler for the next generation of intelligent and sustainable energy systems.

We look forward to receiving your valuable contributions that will undoubtedly enrich this important discussion and advance the state of the art in this crucial field.

Dr. Alejandro Ramos Martín
Dr. Federico León Zerpa
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Fractal and Fractional is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2700 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

• adaptive and learning algorithms
• digital twin behaviour-matching algorithms
• fractional-order modelling
• optimisation methods
• edge artificial intelligence
• AI at the Edge
• AI on the Edge
• edge computing with AI
• peripheral AI
• peripheral artificial intelligence
• decentralised AI computing
• real-time AI
• low-latency AI processing
• real-time AI inference
• AI in embedded systems
• edge machine learning (Edge ML)
• AI for smart sensors