How to price EV charging with reservations?
Online Dynamic Pricing for Electric Vehicle Charging Stations with Reservations
This paper proposes a system for dynamically pricing reservations at electric vehicle charging stations. It uses a Markov Decision Process (MDP) to model the charging station as an agent that interacts with customers (other agents) who arrive according to a Poisson process. The system aims to maximize revenue for the charging station operator.
While not directly employing LLMs, the paper's focus on dynamic pricing in a multi-agent environment using an MDP framework offers valuable insights for LLM-based multi-agent systems. It highlights the challenges of modeling agent interactions, handling uncertainty (customer demand), and optimizing for a specific goal (revenue maximization). These same principles are crucial when designing LLM agents that interact, negotiate, and make decisions within a shared environment.