The global energy sector is experiencing a rapid transformation toward low-carbon and sustainable systems, driven by climate change mitigation targets, the expansion of renewable energy, and increasing global energy demand. In this context, Artificial Intelligence (AI) has emerged as a transformative enabler, providing advanced tools for data-driven decision-making, system optimization, forecasting, and intelligent control across the energy value chain.

This Special Issue aims to highlight recent advances and innovative applications of AI techniques that facilitate energy transition pathways and decarbonization strategies. By integrating machine learning, deep learning, optimization algorithms, and data analytics into energy systems, AI can enhance energy efficiency, support large-scale integration of renewable energy sources, reduce greenhouse gas emissions, and improve the reliability and resilience of modern power and energy infrastructures.

We invite original research articles, review papers, and case studies that address theoretical developments, practical implementations, and real-world applications of AI-assisted decarbonization.

Topics of interest include, but are not limited to: