2021
DOI: 10.1016/j.eneco.2021.105493
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Deregulated electricity market, a stochastic variational approach

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Cited by 5 publications
(4 citation statements)
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“…In view of this result, we focus on the study of a SLMF game of multistage stochastic nature. At the lower-level, the presence of a suitable GNEP of multistage stochastic nature describing the interactions among the followers and parametrized by the leader strategy could allow us to capture a wide range of applications: energy market models, network models, water optimal allocation problems, demand-side management problems, medical supply competitions, etc; see, e.g., [21,23,24,27]. For this reason, this paper is the starting point for future developments.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…In view of this result, we focus on the study of a SLMF game of multistage stochastic nature. At the lower-level, the presence of a suitable GNEP of multistage stochastic nature describing the interactions among the followers and parametrized by the leader strategy could allow us to capture a wide range of applications: energy market models, network models, water optimal allocation problems, demand-side management problems, medical supply competitions, etc; see, e.g., [21,23,24,27]. For this reason, this paper is the starting point for future developments.…”
Section: Discussionmentioning
confidence: 99%
“…Indeed, at the upper level, one can always consider a leader with a certain objective: for instance, it could be a regulator. Instead, at the lower level, it is possible to fit a suitable GNEP describing the interactions among the followers in the considered application, parametrized by the leader strategy; see, e.g., [21,23,24] for problems in multistage stochastic settings.…”
Section: Multistage Stochastic Slmf Gamementioning
confidence: 99%
“…From (20), condition (19) follows. Conversely, if x is a solution to (19), from (i) in Proposition 1, the claim follows.…”
Section: Theorem 2 For Any X ∈ L G Let (R P D(c(x)mentioning
confidence: 99%
“…Indeed, to capture the dynamics that are essential to stochastic decision processes in response to an increasing level of information, Rockafellar and Wets [27] introduced a multistage stochastic variational problem. This formulation provides innovative and flexible tools to study real-life problems complicated by time, uncertainty, risk and allows us to capture the role of information in the recursive decision processes; see, e.g., [15,20,22,29]. The key concept of this new formulation turns out to be the nonanticipativity: some constraints have to be included in the formulation of the problem to take into account the partial information structure progressively revealed.…”
Section: Introductionmentioning
confidence: 99%