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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 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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Optimization methods for gas and power markets : theory and cases
Edoli, Enrico; Fiorenzani, Stefano; Vargiolu, Tiziano - 2016
Persistent link: https://www.econbiz.de/10011422358
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Modeling and valuation of energy structures : analylsis., econometrics, and numerics
Mahoney, Daniel - 2016
Persistent link: https://www.econbiz.de/10011399615
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A continuous time model to price commodity-based swing options
Dahlgren, M. - In: Review of derivatives research 8 (2005) 1, pp. 27-47
Persistent link: https://www.econbiz.de/10002975971
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Speculatively constrained optimal commodity policies
MacLaren, John Edward - 1997
Persistent link: https://www.econbiz.de/10000972525
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Forecasting rough diamond prices : a non-linear optimization model of dominant firm behaviour
VonSaldern, Michael - In: Resources policy 18 (1992) 1, pp. 45-58
Persistent link: https://www.econbiz.de/10001120102
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Optimised asset replacement strategy in the presence of lead time uncertainty
Richardson, Steven; Kefford, Adrian; Hodkiewicz, Melinda - In: International journal of production economics 141 (2013) 2, pp. 659-667
Persistent link: https://www.econbiz.de/10009732018
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Optimal decision rules for HTA under uncertainty : a wider, dynamic perspective
Forster, Martin; Pertile, Paolo - In: Health economics 22 (2013) 12, pp. 1507-1514
Persistent link: https://www.econbiz.de/10010242955
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A decision-making framework for justifying a portfolio of IT projects
Pendharkar, Parag C. - In: International journal of project management : the … 32 (2014) 4, pp. 625-639
Persistent link: https://www.econbiz.de/10010374448