A two‐stage stochastic integer programming model for a thermal power system expansion

By V. M. Albornoz, Pablo Benario, M. Rojas. 2004

47 citations recorded by the source corpus.

Subfields: Electrical and Electronic Engineering, Management Science and Operations Research, Ocean Engineering

View Paper: https://www.semanticscholar.org/paper/fd666a06de12d19274f5f7c7c7ed3b0a867a2a6a

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Electrical and Electronic Engineering

1. Jean-Paul Watson
2. Y. P. Li

In Management Science and Operations Research

1. Jean-Paul Watson
2. David L. Woodruff
3. Shan Jin
4. Sarah M. Ryan
5. Guohe Huang
6. Joel A. E. Andersson
7. Iain Dunning
8. Jip Kim

In Ocean Engineering

1. Guohe Huang
2. Y. P. Li
3. Jean-Paul Watson
4. Shan Jin
5. Sarah M. Ryan
6. Yuefei Huang
7. S. Nie
8. David L. Woodruff

Citations in the corpus

• Modeling and solving a large-scale generation expansion planning problem under uncertainty (2011, background): “Stochastic programming has been used frequently to address uncertainties in general capacity expansion problems [25,15,64].”
• IFTSIP: interval fuzzy two-stage stochastic mixed-integer linear programming: a case study for environmental management and planning (2006, background): “…1970, Pereira and Pinto 1985, Kovacs et al. 1986, Schultz et al. 1996, Ruszczynski and Swietanowski 1997, Ferrero et al. 1998, Huang and Loucks 2000, Kibzun and Nikulin 2001, Seifi and Hipel 2001, Luo et al. 2003, Maqsood and Huang 2003, Ahmed et al. 2004, Albornoz et al. 2004, Li et al. 2006).”