Recent years have witnessed the evolution of Artificial Intelligence (AI) techniques and their revolutionary applications in energy systems. In this scenario, AI provides smart and efficient tools for smart energy systems to perform smart electricity generation, emergency response, and delivery. The integration of renewable energy sources into the smart grid is made easier by using Artificial intelligence technologies to revolutionize the generation, transmission, and consumption of energy. It is known that the integration of AI in energy systems will deliver a wide range of potential research opportunities to the energy management community. Innovative Artificial Intelligence solutions can enhance the efficiency, stability, robustness, and security of energy systems.

The transformation of energy systems for a zero-carbon future poses many technological, organizational, and socio-economic challenges. These emanate from the electrification of existing heating and transport, understanding the impact of increased demand and intermittent generation on existing power and energy system assets, informing the business processes that procure energy, and quantifying weather-related risks. Many important problems in these areas are currently being studied across technical, social, and environmental sciences, common to all of these is the greater availability of data. The application of artificial intelligence spans these disciplines, offering powerful tools and methods for aiding the understanding of the new data streams that are now being generated from energy systems and unlocking their operational value.

This Special Issue will feature the most recent developments of artificial intelligence approaches for energy systems. The targeted audience includes both academic researchers and industry professionals. The purpose of the Special Issue is to provide a platform to enhance interdisciplinary research and share the most recent ideas in the related fields. Original research and review articles are welcome.

Potential topics include but are not limited to the following:

• Cyber-physical systems for energy systems
• Intelligent optimal design, operation, and control of energy systems via artificial intelligence
• Modelling of energy production at different time scales, asset health monitoring, and the optimization of system operation and life cycle
• Optimization of distributed energy resources via artificial intelligence
• Advanced forecasting of variable renewable power generation
• Electric vehicle smart charging infrastructure
• Artificial Intelligence for the integration of distributed energy resources
• AI-enabled consumer-centric business models of energy systems
• Environmental pollution reduction for energy systems via artificial intelligence