@inproceedings{38c7d206978a4c16a49e81e6822d4473,
title = "Opengridmap: An open platform for inferring power grids with crowdsourced data",
abstract = "The energy transition requires profound changes to the power grid, both on the transmission and distribution level. The ability to assess the impact of these changes, e.g., the integration of more solar power or electric mobility, requires data and tools that only exist partially today. The goal of this paper is to introduce OpenGridMap, a new project with the goal of creating an open platform for inferring realistic power grids based on actual data. Our vision is to provide a tool to researchers and practitioners that is able to produce realistic input data for simulation studies. OpenGridMap will support the entire process from data collection to formatting grid data for various purposes. We explore innovative ways to capture data and produce power grid approximations, e.g., using smartphone apps, expert classification, existing map APIs, and graph inference algorithms. The latest developments of the project can be found at opengridmap.com.",
keywords = "Crowdsourcing, Geographic information systems, Power distribution, Power grids",
author = "Jos{\'e} Rivera and Christoph Goebel and David Sardari and Jacobsen, {Hans Arno}",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2015.; 4th D-A-CH Conference on Energy Informatics, EI 2015 ; Conference date: 12-11-2015 Through 13-11-2015",
year = "2015",
doi = "10.1007/978-3-319-25876-8_15",
language = "English",
isbn = "9783319258751",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "179--191",
editor = "Sebastian Gottwalt and Lukas K{\"o}nig and Hartmut Schmeck",
booktitle = "Energy Informatics - 4th D-A-CH Conference, EI 2015, Proceedings",
}