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~person:"Aigner, Kevin-Martin"
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Mathematical programming
3
Mathematische Optimierung
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Robustes Verfahren
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AC optimal power flow
1
Chance constrained programming
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Decision-dependent uncertainty
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Optimal power flow
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Risiko
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curtailment of renewables
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data-driven optimization
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discrete decisions
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distributionally robust optimization
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dynamic regret
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generator switching
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learning over time
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mixed-integer nonlinear programming
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Aigner, Kevin-Martin
Liers, Frauke
21
Anjos, Miguel F.
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Buchheim, Christoph
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Martin, Alexander
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Oswald, Marcus
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Ambrosius, Mirjam
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Ghaddar, Bissan
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Glomb, Lukas
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Hante, Falk M.
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Heidt, Andreas
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Kapolke, Manu
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Kleinert, Thomas
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Rösel, Florian
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Schewe, Lars
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Zoettl, Gregor
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Biefel, Christian
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Braun, Kristin
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Burlacu, Robert
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Cesar, Miguel
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Clarner, Jan-Patrick
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European journal of operational research : EJOR
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INFORMS journal on computing : JOC ; charting new directions in operations research and computer science ; a journal of the Institute for Operations Research and the Management Sciences
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INFORMS journal on optimization
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Solving AC optimal power flow with discrete decisions to global optimality
Aigner, Kevin-Martin
;
Burlacu, Robert
;
Liers, Frauke
; …
- In:
INFORMS journal on computing : JOC ; charting new …
35
(
2023
)
2
,
pp. 458-474
Persistent link: https://www.econbiz.de/10014327649
Saved in:
2
Data-driven distributionally robust optimization over time
Aigner, Kevin-Martin
;
Bärmann, Andreas
;
Braun, Kristin
; …
- In:
INFORMS journal on optimization
5
(
2023
)
4
,
pp. 376-394
Persistent link: https://www.econbiz.de/10014433491
Saved in:
3
Robust approximation of chance constrained DC optimal power flow under decision-dependent uncertainty
Aigner, Kevin-Martin
;
Clarner, Jan-Patrick
;
Liers, Frauke
; …
- In:
European journal of operational research : EJOR
301
(
2022
)
1
,
pp. 318-333
Persistent link: https://www.econbiz.de/10013207379
Saved in:
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