@misc{9ff6e859023f4ccbb994acc169da4e80,
title = "Simplifying Geospatial Workflows with GeoGridFusion",
abstract = "Growing demands to understand PV deployment and reliability across an expanding range of climates, along with increasing computational power, are driving the need for simplified computing tools that support large-scale analysis and geospatial workflows. While existing open-source libraries and PV system modeling tools offer extensive collections of empirical and physical models, they often lack the ability to scale to large geospatial datasets. The tool presented here, GeoGridFusion, enables PV modelers to store and utilize gridded geospatial data from sources such as NSRDB, PVGIS, and others. GeoGridFusion harmonizes diverse datasets, taxonomies, and nomenclatures, and includes utilities that support intuitive geospatial area selection.",
keywords = "CAMS, climate zones, geospatial, HPC, modeling, NSRDB, parallel computing, photovoltaic, PVGIS",
author = "Tobin Ford and Silvana Ovaitt and Martin Springer and Yazan Musleh and Michael Kempe",
year = "2025",
doi = "10.2172/3028442",
language = "American English",
series = "Presented at the 53rd IEEE Photovoltaic Specialists Conference (PVSC 53), 8-13 June 2025, Montreal, Canada",
publisher = "National Laboratory of the Rockies (NLR)",
address = "United States",
type = "Other",
}