Conference Scope

FES2027 welcomes original research contributions addressing the design, development, implementation, and evaluation of computational methods and digital technologies for future energy solutions. The conference emphasizes the intersection of computer science and energy systems, particularly where algorithms, software, data, intelligent systems, optimization, cybersecurity, simulation, and digital platforms contribute to sustainable, resilient, and efficient energy infrastructures.

The scope includes, but is not limited to:

• Artificial intelligence, machine learning, and data analytics for energy systems

• Forecasting, decision support, and explainable AI in energy applications

• Digital twins, modelling, simulation, and co-simulation of cyber-physical energy systems

• Optimization, control, scheduling, and stability of smart grids and microgrids

• Smart grids, energy informatics, IoT, edge computing, and cloud-based energy platforms

• Cybersecurity, privacy, resilience, and secure communication in energy infrastructure

• Electric vehicles, charging systems, vehicle-to-grid technologies, and smart mobility

• Smart cities, energy-efficient buildings, and urban energy management

• Energy markets, transactive energy, peer-to-peer trading, and digital business models

• Local energy communities, prosumers, demand response, and flexibility services

• Industrial energy systems, intelligent drives, automation, and power electronics applications

• Sustainable computing, green digitalization, and computational tools for decarbonization

The conference aims to attract high-quality papers with clear methodological contributions, strong computational content, and relevance to real-world energy challenges. Contributions should demonstrate originality in algorithms, models, software systems, data-driven methods, intelligent control, optimization frameworks, digital architectures, or cyber-physical implementations for future energy solutions.