Data-driven Affinely Adjustable Distributionally Robust Unit Commitment

By C. Duan, Lin Jiang, W. Fang, J. Liu. IEEE Power & Energy Society General Meeting, 2018

54 citations recorded by the source corpus.

Subfields: Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/06dd474f49694984e464411cd8d584dc1a2d44e6

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In Electrical and Electronic Engineering

1. Fengqi You

Citations in the corpus

• Optimization under Uncertainty in the Era of Big Data and Deep Learning: When Machine Learning Meets Mathematical Programming (2019, background): “As the trend of big data has fueled the increasing popularity of datadriven stochastic programming in many areas, DRO emerges as a new data-driven optimization paradigm which hedges against the worst-case distribution in an ambiguity set, and has various applications in power systems, such as unit c”