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A Benders decomposition method for solving stochastic complementarity problems with an application in energy
Gabriel, Steven A.; Fuller, J. David - In: Computational economics 35 (2010) 4, pp. 301-329
Persistent link: https://www.econbiz.de/10003992459
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Master problem approximations in Dantzig-Wolfe decomposition of variational inequality problems with applications to two energy market models
Çelebi, Emre; Fuller, J. David - In: Computers & operations research : and their … 40 (2013) 11, pp. 2724-2739
Persistent link: https://www.econbiz.de/10009785346
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A tutorial review of complementarity models for decision-making in energy markets
Ruiz, Carlos; Conejo, Antonio J.; Fuller, J. David; … - In: EURO Journal on decision processes 2 (2014) 1/2, pp. 91-120
Persistent link: https://www.econbiz.de/10010374229
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Nonconvex multicommodity near equilibrium models : Energy markets perspective
Fuller, J. David; Pirnia, Mehrdad - In: Operations research perspectives 9 (2022), pp. 1-11
In this paper we explore the application of the minimum total opportunity cost (MTOC) model of Fuller and Celebi (2017) to multicommodity market planning models containing binary variables and price sensitive demands, with or without substitution among commodities. We present a greatly...
Persistent link: https://www.econbiz.de/10014245465