Large-scale unit commitment under uncertainty: an updated literature survey

W Van Ackooij, I Danti Lopez, A Frangioni… - Annals of Operations …, 2018 - Springer
Abstract The Unit Commitment problem in energy management aims at finding the optimal
production schedule of a set of generation units, while meeting various system-wide …

Combining (integer) linear programming techniques and metaheuristics for combinatorial optimization

GR Raidl, J Puchinger - Hybrid metaheuristics: An emerging approach to …, 2008 - Springer
Several different ways exist for approaching hard optimization problems. Mathematical
programming techniques, including (integer) linear programming based methods, and …

Structured learning and prediction in computer vision

S Nowozin, CH Lampert - Foundations and Trends® in …, 2011 - nowpublishers.com
Powerful statistical models that can be learned efficiently from large amounts of data are
currently revolutionizing computer vision. These models possess a rich internal structure …

Deterministic electric power infrastructure planning: Mixed-integer programming model and nested decomposition algorithm

CL Lara, DS Mallapragada, DJ Papageorgiou… - European Journal of …, 2018 - Elsevier
This paper addresses the long-term planning of electric power infrastructures considering
high renewable penetration. To capture the intermittency of these sources, we propose a …

Perspective cuts for a class of convex 0–1 mixed integer programs

A Frangioni, C Gentile - Mathematical Programming, 2006 - Springer
We show that the convex envelope of the objective function of Mixed-Integer Programming
problems with a specific structure is the perspective function of the continuous part of the …

Large-scale unit commitment under uncertainty

M Tahanan, W van Ackooij, A Frangioni, F Lacalandra - 4or, 2015 - Springer
Abstract The Unit Commitment problem in energy management aims at finding the optimal
productions schedule of a set of generation units while meeting various system-wide …

A column generation-based exact solution method for seru scheduling problems

Z Zhang, X Gong, X Song, Y Yin, B Lev, J Chen - Omega, 2022 - Elsevier
This paper attempts to address production scheduling problems in seru production systems
(SPS), which is a new-type manufacturing system emanating from Japanese electronic …

Electric power infrastructure planning under uncertainty: stochastic dual dynamic integer programming (SDDiP) and parallelization scheme

CL Lara, JD Siirola, IE Grossmann - Optimization and Engineering, 2020 - Springer
We address the long-term planning of electric power infrastructure under uncertainty. We
propose a Multistage Stochastic Mixed-integer Programming formulation that optimizes the …

Optimal multi-scale capacity planning for power-intensive continuous processes under time-sensitive electricity prices and demand uncertainty. Part I: Modeling

S Mitra, JM Pinto, IE Grossmann - Computers & chemical engineering, 2014 - Elsevier
Time-sensitive electricity prices (as part of so-called demand-side management in the smart
grid) offer economical incentives for large industrial customers. In part I of this paper, we …

A matheuristic for integrated timetabling and vehicle scheduling

S Carosi, A Frangioni, L Galli, L Girardi… - … Research Part B …, 2019 - Elsevier
Planning a public transportation system is a complex process, which is usually broken down
in several phases, performed in sequence. Most often, the trips required to cover a service …