Barycentric scenario trees in convex multistage stochastic programming
Mathematical Programming: Series A and B
Generation Supply Bidding in Perfectly Competitive Electricity Markets
Computational & Mathematical Organization Theory
Integrated Resource Scheduling and Bidding in the DeregulatedElectric Power Market: New Challenges
Discrete Event Dynamic Systems
Generating Scenario Trees for Multistage Decision Problems
Management Science
Dual decomposition in stochastic integer programming
Operations Research Letters
A two-stage stochastic programming model for electric energy producers
Computers and Operations Research
Optimizing profits from hydroelectricity production
Computers and Operations Research
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
Computers and Operations Research
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The advent of competitive markets confronts each producer with the problem of optimally allocating his energy/capacity so as to maximize his profits. The multiplicity of auctions in electricity markets and the non-trivial constraints imposed by technical and bidding rules make the problem of crucial importance and difficult to model and solve. Further difficulties are represented by the dynamic and stochastic natures that characterize the decision process. We formulate the problem as a multi-stage mixed-integer stochastic optimization model under the assumption that the seller is a price taker. We validate the effectiveness of the proposed model on a representative test problem.