Mette Gamst
Mette Gamst
Senior data scientist, Energinet
Verified email at energinet.dk
Title
Cited by
Cited by
Year
A branch-and-price algorithm for the long-term home care scheduling problem
M Gamst, TS Jensen
Operations research proceedings 2011, 483-488, 2012
222012
Two-and three-index formulations of the minimum cost multicommodity k-splittable flow problem
M Gamst, PN Jensen, D Pisinger, C Plum
European Journal of Operational Research 202 (1), 82-89, 2010
202010
Compensating active power imbalances in power system with large-scale wind power penetration
A Basit, AD Hansen, M Altin, PE Sørensen, M Gamst
Journal of Modern Power Systems and Clean Energy 4 (2), 229-237, 2016
192016
Wind power integration into the automatic generation control of power systems with large-scale wind power
A Basit, AD Hansen, M Altin, P Sørensen, M Gamst
The Journal of Engineering 2014 (10), 538-545, 2014
162014
Comparing branch-and-price algorithms for the Multi-Commodity k-splittable Maximum Flow Problem
M Gamst, B Petersen
European Journal of Operational Research 217 (2), 278-286, 2012
122012
A local search heuristic for the Multi-Commodity -splittable Maximum Flow Problem
M Gamst
Optimization Letters 8 (3), 919-937, 2014
72014
A decomposition based on path sets for the Multi-Commodity k-splittable Maximum Flow Problem
M Gamst
DTU Management Engineering, 2013
42013
Exact and heuristic solution approaches for the integrated job scheduling and constrained network routing problem
M Gamst
Discrete Applied Mathematics 164, 121-137, 2014
32014
A comparative study of time aggregation techniques in relation to power capacity expansion modeling
S Buchholz, M Gamst, D Pisinger
Top 27 (3), 353-405, 2019
22019
Integrated job scheduling and network routing
M Gamst, D Pisinger
Networks 61 (3), 248-262, 2013
22013
An exact approach for aggregated formulations
M Gamst, S Spoorendonk
DTU Management Engineering, 2013
22013
Greedy and metaheuristics for the offline scheduling problem in grid computing
M Gamst
DTU Management, 2010
22010
Long-term home care scheduling
M Gamst, TS Jensen
DTU Management, 2011
12011
A survey of the Routing and Wavelength Assignment Problem
M Gamst
DTU Management, 2009
12009
Simultaneously Exploiting Two Formulations: an Exact Benders Decomposition Approach
RM Lusby, M Gamst, S Ropke, S Spoorendonk
Computers & Operations Research, 105041, 2020
2020
Sensitivity analysis of time aggregation techniques applied to capacity expansion energy system models
S Buchholz, M Gamst, D Pisinger
Applied Energy 269, 114938, 2020
2020
Finding a Portfolio of Near-Optimal Aggregated Solutions to Capacity Expansion Energy System Models
S Buchholz, M Gamst, D Pisinger
SN Operations Research Forum 1 (1), 1-40, 2020
2020
Rejoinder on: A comparative study of time aggregation techniques in relation to power capacity-expansion modeling
S Buchholz, M Gamst, D Pisinger
Top 27 (3), 421-425, 2019
2019
Improving solution times of Capacity Expansion Energy System Models using aggregated problem solution as warm start
S Buchholz, M Gamst, D Pisinger
30th European Conference On Operational Research, 2019
2019
Time aggregation techniques applied to integrated energy systems
M Gamst, S Buchholz, D Pisinger
30th European Conference On Operational Research, 2019
2019
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