Supporting Energy Policy Research with Large Language Models

arXiv:2403.12924v1 Announce Type: new
Abstract: The recent growth in renewable energy development in the United States has been accompanied by a simultaneous surge in renewable energy siting ordinances. These zoning laws play a critical role in dictating the placement of wind and solar resources that are critical for achieving low-carbon energy futures. In this context, efficient access to and management of siting ordinance data becomes imperative. The National Renewable Energy Laboratory (NREL) recently introduced a public wind and solar siting …

abstract arxiv carbon cs.cl development energy futures growth language language models large language large language models laws low placement policy renewable research resources role solar type united united states wind