The field of multi-agent systems and energy markets is witnessing significant developments, with a focus on innovative solutions for complex problems. Researchers are exploring new approaches to routing modular agents, predicting energy prices, and optimizing energy storage arbitrage bidding. These advancements aim to improve efficiency, flexibility, and sustainability in various applications, including transportation and logistics. Notably, the integration of electrified logistics and power systems is becoming a key area of research, with models being developed to characterize the interactions between these systems. Noteworthy papers include:

• Virtual Force-Based Routing of Modular Agents on a Graph, which introduces a heuristic algorithm for routing modular agents on a graph.
• A Decision-Focused Predict-then-Bid Framework for Strategic Energy Storage, which proposes a novel decision-focused framework for energy storage arbitrage bidding.
• Integrated equilibrium model for electrified logistics and power systems, which develops an integrated equilibrium model to characterize the complex interactions between electrified logistics systems and electric power delivery systems.