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Word cloudA word cloud is a visual representation of the most frequently used words in a text or a set of texts. The words appear in different sizes, with the size of each word being proportional to its frequency of occurrence in the text. The more frequently a word is used, the larger it appears in the word cloud. This technique allows for a quick visualization of the most important themes and concepts in a text.
In the context of this page, the word cloud was generated from the publications of the author {}. The words in this cloud come from the titles, abstracts, and keywords of the author's articles and research papers. By analyzing this word cloud, you can get an overview of the most recurring and significant topics and research areas in the author's work.
The word cloud is a useful tool for identifying trends and main themes in a corpus of texts, thus facilitating the understanding and analysis of content in a visual and intuitive way.
Barbry, A., Anjos, M. F., Delage, E., & Schell, K. R. (2019). Robust self-scheduling of a price-maker energy storage facility in the New York electricity market. Energy Economics, 78, 629-646. External link
Barbry, A., Anjos, M. F., & Delage, E. (2018). Robust self-scheduling of a price-maker energy storage facility in the New York electricity market. (Technical Report n° G-2018-33). External link
Delage, E., Gianoli, L. G., & Sanso, B. (2018). A practicable robust counterpart formulation for decomposable functions: A network congestion case study. Operations Research, 66(2), 535-567. External link
Delage, E., Gianoli, L. G., & Sanso, B. (2015). A practicable robust counterpart formulation for decomposable functions: A network congestion case study. (Technical Report n° G-2015-27). External link
Gauvin, C., Delage, E., & Gendreau, M. (2018). A stochastic program with time series and affine decision rules for the reservoir management problem. European Journal of Operational Research, 267(2), 716-732. External link
Gauvin, C., Delage, E., & Gendreau, M. (2018). A successive linear programming algorithm with non-linear time series for the reservoir management problem. Computational Management Science, 15(1), 55-86. External link
Gauvin, C., Delage, E., & Gendreau, M. (2017). A successive linear programming algorithm with non-linear time series for the reservoir management problem. (Technical Report n° G-2017-13). External link
Gauvin, C., Delage, E., & Gendreau, M. (2017). A stochastic program with time series and affine decision rules for the reservoir management problem. (Technical Report n° G-2016-24). External link
Gauvin, C., Delage, E., & Gendreau, M. (2017). Decision rule approximations for the risk averse reservoir management problem. European Journal of Operational Research, 261(1), 317-336. External link
Gauvin, C., Delage, E., & Gendreau, M. (2015). A robust optimization model for the risk averse reservoir management problem. (Technical Report n° G-2015-131). External link
Sadana, U., Chenreddy, A., Delage, E., Forel, A., Frejinger, E., & Vidal, T. (2024). A survey of contextual optimization methods for decision-making under uncertainty. European Journal of Operational Research, 19 pages. External link
Sadana, U., Chenreddy, A., Delage, E., Forel, A. R. G., Frejinger, E., & Vidal, T. (2023). A survey of contextual optimization methods for decision making under uncertainty. (Technical Report n° G-2023-22). External link
