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Optimal scenario reduction for one- and two-stage robust optimization with discrete uncertainty in the objective
Goerigk, Marc; Khosravi, Mohammad - In: European journal of operational research : EJOR 310 (2023) 2, pp. 529-551
Persistent link: https://www.econbiz.de/10014340258
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Complexity, algorithmic, and computational aspects of a dial-a-ride type problem
Baïou, Mourad; Colares, Rafael; Kerivin, Hervé - In: European journal of operational research : EJOR 310 (2023) 2, pp. 552-565
Persistent link: https://www.econbiz.de/10014340259
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Extreme gradient boosting trees with efficient Bayesian optimization for profit-driven customer churn prediction
Liu, Zhenkun; Jiang, Ping; De Bock, Koen W.; Wang, Jianzhou - In: Technological forecasting and social change : an … 198 (2024), pp. 1-16
Persistent link: https://www.econbiz.de/10015076450
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Merchant commodity storage practice revisited
Secomandi, Nicola - In: Operations research 63 (2015) 5, pp. 1131-1143
Persistent link: https://www.econbiz.de/10011397812
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Optimization models for liberalized natural gas markets
Midthun, Kjetil Trovik - 2007
Persistent link: https://www.econbiz.de/10003748182
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Anwendungen der stochastischen Optimierung im Stromhandel und Gastransport
Westphalen, Markus - 2004 - 1. Aufl
Persistent link: https://www.econbiz.de/10002470528
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A stochastic version of a Stackelberg-Nash-Cournot equilibrium model
De Wolf, Daniel - In: Management science : journal of the Institute for … 43 (1997) 2, pp. 190-197
Persistent link: https://www.econbiz.de/10001217342
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A stochastic version of a Stackelberg-Nash-Cournot equilibrium model
Wolf, Daniel de - 1992
Persistent link: https://www.econbiz.de/10000852950
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Optimization Methods for Gas and Power Markets : Theory and Cases
Edoli, Enrico - 2016
This is a valuable, quantitative guide to the technicalities of optimization methodologies in gas and power markets, and will be of interest to practitioners in the energy industry and financial sector who work in trading, quantitative analysis and energy risk modeling
Persistent link: https://www.econbiz.de/10012397554
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Global gas model : model and data documentation v3.0 (2019)
Egging, Ruud; Holz, Franziska - 2019
Persistent link: https://www.econbiz.de/10012014013