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@inproceedings{771711,
author = {Prýmek, Miroslav and Horák, Aleš and Goňo, Radomír and Rusek, Stanislav},
address = {Brno, Czech Republic},
booktitle = {Proceedings of EPE 2008},
keywords = {electrical power system; reliability;multi-agent dynamic network},
language = {eng},
location = {Brno, Czech Republic},
isbn = {978-80-214-3650-3},
pages = {303-308},
publisher = {Brno University of Technology},
title = {Power Distribution Network Reliability Modeling Based on the Statistical Data and Multi-agent Simulation},
url = {http://nlp.fi.muni.cz/publications/epe2008_xprymek_hales_gono_rusek/epe2008_xprymek_hales_gono_rusek.pdf},
year = {2008}
}
TY - JOUR
ID - 771711
AU - Prýmek, Miroslav - Horák, Aleš - Goňo, Radomír - Rusek, Stanislav
PY - 2008
TI - Power Distribution Network Reliability Modeling Based on the Statistical Data and Multi-agent Simulation
PB - Brno University of Technology
CY - Brno, Czech Republic
SN - 9788021436503
KW - electrical power system
KW - reliability;multi-agent dynamic network
UR - http://nlp.fi.muni.cz/publications/epe2008_xprymek_hales_gono_rusek/epe2008_xprymek_hales_gono_rusek.pdf
N2 - The paper describes an innovative approach to the exploration of the power distribution network reliability problem. The approach is based on dynamic modeling of the power distribution network features, its failures and their consequences. The actual modeling processes are conducted by a network of independent and autonomous software agents whose behavior is defined by a declarative language. A particular network model can be machine-generated on the basis of a real-life failure database data. The hypothesis is that we can bring new findings to the research field by joining the real-life statistical data with the highly flexible multi-agent simulation.
ER -
PRÝMEK, Miroslav, Aleš HORÁK, Radomír GOŇO a Stanislav RUSEK. Power Distribution Network Reliability Modeling Based on the Statistical Data and Multi-agent Simulation. In \textit{Proceedings of EPE 2008}. Brno, Czech Republic: Brno University of Technology, 2008, s.~303-308. ISBN~978-80-214-3650-3.
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