Title	A computation strategy for a two-stage stochastic equilibrium problem
Creator	Deride, Julio
Publisher	Banff International Research Station for Mathematical Innovation and Discovery
Date Issued	2019-09-23T17:54
Description	In this talk, we present a problem of strategic planning for capacity investment and production under uncertainty, in a competitive market. We model it as a general equilibrium problem, i.e., a collection of multi-agent optimization problems with an equilibrium constraint (supply meets demand), and we propose a solution method based on a scheme that considers: i) a stagewise-decomposition procedure using Progressive Hedging, ii) a representative agent representation, and iii) a decomposition-type method for its solution, such as the Alternating Direction Method of Multipliers (ADMM). We illustrate the numerical performance of the algorithm by solving a stochastic infrastructure planning problem for the electric vehicule fast-charging station problem over a small network.
Extent	25.0 minutes
Subject	Mathematics; Probability theory and stochastic processes; Operations research, mathematical programming; Control/Optimization/Operation Research
Type	Moving Image
File Format	video/mp4
Language	eng
Notes	Author affiliation: Universidad Federico Santa María
Series	BIRS Workshop Lecture Videos (Oaxaca de Juárez (Mexico))
Date Available	2021-01-16
Provider	Vancouver : University of British Columbia Library
Rights	Attribution-NonCommercial-NoDerivatives 4.0 International
DOI	10.14288/1.0395618
URI	http://hdl.handle.net/2429/77112
Affiliation	Non UBC
Peer Review Status	Unreviewed
Scholarly Level	Researcher
Rights URI	http://creativecommons.org/licenses/by-nc-nd/4.0/
Aggregated Source Repository	DSpace

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A computation strategy for a two-stage stochastic equilibrium problem Deride, Julio

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