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@INPROCEEDINGS{Titz:1051589,
author = {Titz, Maurizio and Witthaut, Dirk},
title = {{A} {D}ata-{D}riven {A}nalysis of {U}nscheduled {F}lows
in the {E}uropean {P}ower {S}ystem},
volume = {16096},
address = {Cham},
publisher = {Springer Nature Switzerland},
reportid = {FZJ-2026-00516},
isbn = {978-3-032-03097-9 (print)},
series = {Lecture Notes in Computer Science},
pages = {237–253},
year = {2025},
comment = {Energy Informatics. EIA Nordic 2025},
booktitle = {Energy Informatics. EIA Nordic 2025},
abstract = {Cross-border electricity trading is becoming increasingly
important in the European power system. Unscheduled power
flows induce additional costs and may lead to congestion and
impair power grid operation. In this contribution we provide
a data-centric analysis of unscheduled flows in the Central
European power grid. Using methods from explainable machine
learning, we identify the main driving factors for
unscheduled flows and quantify their impact. Unscheduled
flows in the meshed part of the grid can be attributed to
transit or loop flows primarily and are well described by a
linear model. The performance is substantially worse for
unscheduled flows on bridges, with forecast errors being the
most important drivers. This performance gap is probably due
to data quality issues.},
month = {Aug},
date = {2025-08-20},
organization = {Nordic Energy Informatics Academy
Conference, Stockholm (Sweden), 20 Aug
2025 - 22 Aug 2025},
cin = {ICE-1},
cid = {I:(DE-Juel1)ICE-1-20170217},
pnm = {1122 - Design, Operation and Digitalization of the Future
Energy Grids (POF4-112)},
pid = {G:(DE-HGF)POF4-1122},
typ = {PUB:(DE-HGF)8 / PUB:(DE-HGF)7},
doi = {10.1007/978-3-032-03098-6_16},
url = {https://juser.fz-juelich.de/record/1051589},
}