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~person:"Kleinert, Thomas"
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Kleinert, Thomas
Schmidt, Manfred G.
94
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59
Schmidt, Martin
35
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26
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21
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16
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European journal of operational research : EJOR
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1
On electricity market equilibria with storage : modeling, uniqueness, and a distributed ADMM
Grübel, Julia
;
Kleinert, Thomas
;
Krebs, Vanessa
; …
- In:
Computers & operations research : and their …
114
(
2020
),
pp. 1-19
Persistent link: https://www.econbiz.de/10012146651
Saved in:
2
Technical note : there's no free lunch : on the hardness of choosing a correct big-M in bilevel optimization
Kleinert, Thomas
;
Labbé, Martine
;
Plein, Fränk
; …
- In:
Operations research
68
(
2020
)
6
,
pp. 1716-1721
Persistent link: https://www.econbiz.de/10012392157
Saved in:
3
Computing feasible points of bilevel problems with a penalty alternating direction method
Kleinert, Thomas
;
Schmidt, Martin
- In:
INFORMS journal on computing : JOC
33
(
2021
)
1
,
pp. 198-215
Persistent link: https://www.econbiz.de/10012496375
Saved in:
4
Endogenous price zones and investment incentives in electricity markets : an application of multilevel optimization with graph partitioning
Ambrosius, Mirjam
;
Grimm, Veronika
;
Kleinert, Thomas
; …
- In:
Energy economics
92
(
2020
),
pp. 1-23
Persistent link: https://www.econbiz.de/10012520000
Saved in:
5
The impact of neighboring markets on renewable locations, transmission expansion, and generation investment
Egerer, Jonas
;
Grimm, Veronika
;
Kleinert, Thomas
; …
- In:
European journal of operational research : EJOR
292
(
2021
)
2
,
pp. 696-713
Persistent link: https://www.econbiz.de/10012502392
Saved in:
6
The cost of decoupling trade and transport in the European entry-exit gas market with linear physics modeling
Böttger, Tim
;
Grimm, Veronika
;
Kleinert, Thomas
; …
- In:
European journal of operational research : EJOR
297
(
2022
)
3
,
pp. 1095-1111
Persistent link: https://www.econbiz.de/10013262343
Saved in:
7
Why there is no need to use a big-M in linear bilevel optimization : a computational study of two ready-to-use approaches
Kleinert, Thomas
;
Schmidt, Martin
- In:
Computational management science
20
(
2023
)
1
,
pp. 1-12
Persistent link: https://www.econbiz.de/10014228501
Saved in:
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