TY - DATA T1 - Simulation model for the publication: "Exposing a Locational Energy Market to Uncertainty" PY - 2025/09/01 AU - Longjian Piao AU - Laurens de Vries AU - Mathijs de Weerdt AU - Neil Yorke-Smith UR - DO - 10.4121/5627f587-e98b-4d61-a814-926fa33eef2d.v1 KW - electricity market design KW - prosumers KW - distribution system KW - agent-based model KW - Pecan Street KW - Python KW - DC N2 -

Simulation model written in Python, corresponding to the submitted article: "Exposing a Locational Energy Market to Uncertainty" This is an agent-based simulation of a local DC network with prosumers.

ER -