Energy Transition in the Age of Artificial Intelligence

Dear Colleagues,

This Special Issue aims to present current ideas and achievements regarding the use of artificial intelligence in the energy transition. We aim for this Special Issue to be an advanced forum for the exchange of knowledge and experience on how digital tools and machine learning support the transformation of the energy sector. We are interested in how innovative solutions connect complex energy infrastructure with the needs of society, the economy, and the environment.

Currently, increasingly intelligent energy management systems are supported by various areas of computing, enabling the more accurate forecasting, optimisation, and balancing of energy production and consumption. A natural direction is, therefore, to move away from fragmented initiatives and "technology silos" towards an integrated approach in which technical, economic, and regulatory innovations complement each other, creating a coherent basis for sustainable development.

The integration of artificial intelligence into energy networks and energy management systems requires a multifaceted understanding of the computational, economic, and social challenges faced. The pursuit of climate neutrality and energy security engages academia, industry, and public administration in the search for solutions for the economy of the future. The evolution of research on the energy transition is increasingly based on an interdisciplinary approach in which breakthrough technologies set new directions for energy, fiscal, and innovation policies.

Promoting a multi-perspective approach, this Special Issue invites theoretical and practical contributions, particularly in the fields of engineering, economics, management, and social sciences. In this way, we will offer readers the opportunity to view the energy transition as a complex process that not only requires technological tools, but also appropriate economic, fiscal, and regulatory frameworks. The articles published in this Special Issue will help readers to understand how artificial intelligence can support the development of resilient, fair, and sustainable energy systems.

The aim of this Special Issue is to present innovations and solutions that broadly support the energy transition by improving efficiency, safety, and quality of life.

Original research articles and review papers are welcome. We look forward to receiving your contributions.

In this Special Issue, original research articles and reviews are welcome. Research areas may include, but are not limited to, the following:

• Artificial intelligence, big data, and machine learning in energy;
• Smart demand and supply management systems;
• Forecasting and optimisation of renewable energy generation;
• Automation of energy processes and predictive maintenance;
• Virtual power plants and microgrids;
• Energy storage and system balancing;
• Cybersecurity for AI-based energy systems;
• Innovative business and tariff models;
• Fiscal instruments supporting digitalisation and green transition;
• Social consequences of decisions made by algorithms.

We look forward to receiving your contributions.

Yours faithfully,

Guest Editors

Prof. Dr. Radosław Wolniak
Dr. Judyta Kabus
Prof. Dr. Katarzyna Bratnicka-Myśliwiec
Dr. Izabela Bagińska
Guest Editors

Manuscript Submission Information

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