Trine Krogh Boomsma
Associate Professor
Department of Mathematical Sciences
Universitetsparken 5
2100 København Ø
- 2023
- Published
MILP Sensitivity Analysis for the Objective Function Coefficients
Andersen, K. A., Boomsma, Trine Krogh & Nielsen, L. R., 2023, In: INFORMS Journal on Optimization. 5, 1, p. 92-109 32 p.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Revenue and risk of variable renewable electricity investment: The cannibalization effect under high market penetration
Reichenberg, L., Ekholm, T. & Boomsma, Trine Krogh, 2023, In: Energy. 284, 17 p., 128419.Research output: Contribution to journal › Journal article › Research › peer-review
- 2022
- Published
An approximate dynamic programming algorithm for short-term electric vehicle fleet operation under uncertainty
Lee, Sangmin & Boomsma, Trine Krogh, 2022, In: Applied Energy. 325, 15 p., 119793.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
The spot and balancing markets for electricity: open- and closed-loop equilibrium models
Boomsma, Trine Krogh, Pineda, S. & Heide-Jørgensen, D. M., 2022, In: Computational Management Science. 19, p. 309–346Research output: Contribution to journal › Journal article › Research › peer-review
- 2020
- Published
A parametric programming approach to bilevel merchant electricity transmission investment problems
Bylling, H. C., Boomsma, Trine Krogh & Gabriel, S. A., 2020, Transmission Network Investment in Liberalized Power Markets. Springer VS, p. 237-254 (Lecture Notes in Energy, Vol. 79).Research output: Chapter in Book/Report/Conference proceeding › Book chapter › Research › peer-review
- Published
A parametric programming approach to bilevel optimisation with lower-level variables in the upper level
Bylling, H. C., Gabriel, S. A. & Boomsma, Trine Krogh, 2020, In: Journal of the Operational Research Society. 71, 5, p. 846-865Research output: Contribution to journal › Journal article › Research › peer-review
- Published
A real options approach to generation capacity expansion in imperfectly competitive electricity markets
Brondbo, H. K., Storebo, A., Boomsma, Trine Krogh, Skar, C. & Fleten, S., 2020, In: Energy Systems. 11, 3, p. 515-550 37 p.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
The impact of short-term variability and uncertainty on long-term power planning
Bylling, H. C., Pineda, S. & Boomsma, Trine Krogh, 2020, In: Annals of Operations Research. 284, p. 199–223 25 p.Research output: Contribution to journal › Journal article › Research › peer-review
- 2019
- Published
Comments on: A comparative study of time aggregation techniques in relation to power capacity-expansion modeling: [TOP - October 2019, Volume 27, Issue 3, pp 353–405]
Boomsma, Trine Krogh, 2019, In: TOP. 27, 3, p. 406–409 4 p.Research output: Contribution to journal › Journal article › Research
- Published
On the number of stages in multistage stochastic programs
Pantuso, Giovanni & Boomsma, Trine Krogh, 2019, In: Annals of Operations Research. 292, 2, 23 p.Research output: Contribution to journal › Journal article › Research › peer-review
ID: 37717574
Most downloads
-
1322
downloads
Transmission and wind investment in a deregulated electricity industry
Research output: Contribution to journal › Journal article › Research › peer-review
Published -
290
downloads
MILP Sensitivity Analysis for the Objective Function Coefficients
Research output: Contribution to journal › Journal article › Research › peer-review
Published -
208
downloads
A parametric programming approach to bilevel optimisation with lower-level variables in the upper level
Research output: Contribution to journal › Journal article › Research › peer-review
Published