Vanderbilt's CONSENT framework cuts EV charging costs 22% via AI negotiation
An AI negotiation system reduces building energy costs by 3.5% while saving drivers 22% on charging.
Deep Dive
Researchers from Vanderbilt University and collaborators developed CONSENT, an AI-powered multi-agent negotiation framework for Vehicle-to-Building (V2B) charging. It uses game theory to incentivize EV drivers to offer flexibility in departure time or state of charge. Validated with real-world data, the system lowers building operator costs by 3.5% and reduces user charging expenses by 22% compared to standard retail rates, creating a win-win scenario.
Why It Matters
It transforms EV fleets from a grid burden into a strategic, collaborative asset for managing energy costs and demand.