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Record link: 
http://hdl.handle.net/20.500.12708/77055
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Title: 
Parallel Breadth And Depth First Monte Carlo Tree Search Algorithms For Investigating Power System Restoration
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Citation: 
Torabi-Makshos, E., Guo, Y., Gawlik, W., Hinkel, P., Zugck, M., Wellßow, W., Schmaranz, R., Traxler, E., & Fielder, L. (2020). Parallel Breadth And Depth First Monte Carlo Tree Search Algorithms For Investigating Power System Restoration. In EnInnov2020 (p. 11). http://hdl.handle.net/20.500.12708/77055
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Publication Type: 
Inproceedings - Full-Paper Contribution
en
Authors: 
Torabi-Makshos, Elmira 
Guo, Yi 
Gawlik, Wolfgang 
Hinkel, Philipp 
Zugck, Marian 
Wellßow, Wolfram 
Schmaranz, Robert 
Traxler, Ewald 
Fielder, Leopold 
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Organisational Unit: 
E370-01 - Forschungsbereich Energiesysteme und Netze 
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Published in: 
EnInnov2020 
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Date (published): 
2020
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Event name: 
Symposium Energieinnovation 
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Event date: 
12-Feb-2020 - 14-Feb-2020
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Event place: 
Graz, Austria
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Number of Pages: 
11
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Peer reviewed: 
No
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Keywords: 
Power system restoration; parallel breath-first search; parallel own depth-first search; individual key performance indicators
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Project title: 
Strategies and Operator Tools for Grid Restoration with Massive Renewable Energy Sources: 857571 (European Commission) 
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Science Branch: 
Elektrotechnik, Elektronik, Informationstechnik
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Appears in Collections:
Conference Paper

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