Preference Modeling in a Competitive Agent-based Energy Market
Speaker
Abstract
| TAC Energy is a competition that models future retail energy markets to facilitate research in economic decision-making in Smart Grids. It challenges research teams to design agents which would act as energy retail brokers, purchasing power from distributed sources and regional energy exchanges, and selling power to consumers and exchanges. To develop profitable portfolios, such broker agents must estimate and reason about different customers' preferences in an effective and efficient way. |
| Contact information: |
| Meditya Wasesa |
Coordinator
