Krzysztof Postek, Aharon Ben-Tal, Dick den Hertog, Bertrand Melenberg, Robust Optimization with Ambiguous Stochastic Constraints Under Mean and Dispersion Information, Operations Research, Vol. 66, No ...

IoT, AI, and digitalization are transforming power distribution, enhancing grid reliability, and promoting sustainability.

We then develop a general model formulation, called robust optimization (RO), that explicitly incorporates the conflicting objectives of solution and model robustness. Robust optimization is compared ...

Saudi scientists created a new deep learning technique based on distributionally robust optimization (DRO) to identify the most suitable locations for utility scale wind and solar power projects.

Planning ahead: A new robust approach for minimizing costs in power-distribution networks. ScienceDaily . Retrieved June 2, 2025 from www.sciencedaily.com / releases / 2019 / 02 / 190208115307.htm ...

Distributed optimization algorithms have revolutionized the decision-making process in distribution network management. Unlike their centralized counterparts, the effectiveness of distributed ...

Robust optimization of currency portfolios Raquel J. Fonseca, Steve Zymler, Wolfram Wiesemann, Berç Rustem Tweet . Facebook . LinkedIn . Save this article. Send to ... We present numerical results ...

Fidelity Optimization was used to run the optimization on the impeller shape. The design space consisted of 19 design variables, performed as multi-point optimizations, and three operating points on ...