The field of integrated energy-communication-transportation systems is rapidly evolving, with a focus on optimizing energy efficiency, reducing costs, and promoting sustainable development. Recent research has explored the potential of base stations as service hubs, leveraging their energy storage capabilities to support electric vehicle charging and renewable energy integration. Another key area of development is the improvement of drivetrain efficiency in electric vehicles, with novel motor and inverter concepts being introduced to reduce harmonic losses. Furthermore, there is a growing emphasis on ensuring fairness and equity in energy distribution mechanisms, particularly in collective self-consumption schemes and peer-to-peer energy trading platforms. Noteworthy papers in this area include: The paper on Towards Integrated Energy-Communication-Transportation Hub, which demonstrates the feasibility of efficiently charging EVs using base station batteries and renewable power plants. The paper on Fairness of Energy Distribution Mechanisms in Collective Self-Consumption Schemes, which assesses and compares fairness across different local energy market distribution mechanisms. The paper on Scalable Fairness Shaping with LLM-Guided Multi-Agent Reinforcement Learning for Peer-to-Peer Electricity Markets, which proposes a fairness-aware multiagent reinforcement learning framework for ensuring equitable outcomes in peer-to-peer energy trading.