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of 176
pro vyhledávání: '"Alcántara, Antonio"'
Two-stage stochastic programming is a popular framework for optimization under uncertainty, where decision variables are split between first-stage decisions, and second-stage (or recourse) decisions, with the latter being adjusted after uncertainty i
Externí odkaz:
http://arxiv.org/abs/2403.11707
Autor:
Alcántara, Antonio, Ruiz, Carlos
The use of machine learning methods helps to improve decision making in different fields. In particular, the idea of bridging predictions (machine learning models) and prescriptions (optimization problems) is gaining attention within the scientific c
Externí odkaz:
http://arxiv.org/abs/2211.11392
Autor:
Alcántara, Antonio, Ruiz, Carlos
When dealing with real-world optimization problems, decision-makers usually face high levels of uncertainty associated with partial information, unknown parameters, or complex relationships between these and the problem decision variables. In this wo
Externí odkaz:
http://arxiv.org/abs/2207.03844
Autor:
Alcántara, António, Ruiz, Carlos
Publikováno v:
European Journal of Operational Research (2024)
In day-ahead electricity markets based on uniform marginal pricing, small variations in the offering and bidding curves may substantially modify the resulting market outcomes. In this work, we deal with the problem of finding the optimal offering cur
Externí odkaz:
http://arxiv.org/abs/2204.11672
Autor:
Alcántara, Antonio, Ruiz, Carlos
Publikováno v:
In European Journal of Operational Research 16 December 2024 319(3):891-907
Autor:
Martín-Alcántara, Antonio, Aranda-Hidalgo, José Luis, Jiménez-Solano, Alberto, Sarsa-Rubio, Antonio J.
Publikováno v:
In Energy 15 December 2023 285
Autor:
Alcántara, Antonio, Ruiz, Carlos
Publikováno v:
In Expert Systems With Applications 1 December 2023 232
Autor:
Alcántara, Antonio, Ruiz, Carlos
Publikováno v:
In Applied Mathematical Modelling September 2023 121:445-462
Publikováno v:
In International Journal of Hydrogen Energy 30 April 2023 48(37):13987-13999
Publikováno v:
In Sustainable Energy Technologies and Assessments March 2023 56