A Two-Stage Planning Model for Power Scheduling in a Hydro-Thermal System Under Uncertainty
By Robert Nürnberg, Werner Römisch. 2002
100 citations recorded by the source corpus.
Subfields: Electrical and Electronic Engineering, Finance, Management Science and Operations Research
View Paper: https://www.semanticscholar.org/paper/8f3a48d2ce62fe98498b4f448dbf23ff445be606
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
- René Henrion
- Javier García-González
- Werner Römisch
- Alicia Mateo González
- Shmuel S. Oren
- Anthony Papavasiliou
- Nima Amjady
- Hamed Rahimian
In Finance
In Management Science and Operations Research
- René Henrion
- Christian Küchler
- Yanpeng Cai
- Werner Römisch
- Yong Zeng
- Guohe Huang
- Jing Dai
- Holger Heitsch
Citations in the corpus
- Stochastic Joint Optimization of Wind Generation and Pumped-Storage Units in an Electricity Market (2008, background): “There are many examples of stochastic programming applied to power systems [9]–[11].”
- Discrepancy distances and scenario reduction in two-stage stochastic mixed-integer programming (2008, background): “where the number of integer variables y2i increases with N. Since for applied stochastic optimization models (see, e.g., [18, 19 ]) often the dimension m2 of each y2i gets large, the mixed-integer program (3) might become huge even for small numbers N of scenarios and practically unsolvable for lar”
- A Review on Optimization Modeling of Energy Systems Planning and GHG Emission Mitigation under Uncertainty (2011, background): “A two-stage stochastic programming model for short- or mid-term cost-optimal electric power production planning was developed by Nürnberg and Römisch [249].”