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Stochastic optimization of trading strategies in sequential electricity markets
Kraft, Emil; Russo, Marianna; Keles, Dogan; Bertsch, … - 2021
-in and electricity prices. This uncertainty reflects on both the market outcomes and the quantity of renewable generation …
Persistent link: https://www.econbiz.de/10012581307
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Risk-averse regret minimization in multi-stage stochastic programs
Poursoltani, Mehran; Delage, Erick; Georghiou, Angelos - 2021
Persistent link: https://www.econbiz.de/10012939439
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A stabilised Benders decomposition with adaptive oracles for large-scale stochastic programming with short-term and long-term uncertainty
Zhang, Hongyu; Mazzi, Nicolò; McKinnon, Ken; Nava, … - In: Computers & operations research : an international journal 167 (2024), pp. 1-14
Persistent link: https://www.econbiz.de/10014566414
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A simple heuristic for computing non-stationary inventory policies based on function approximation
Kilic, Onur A.; Tarim, S. Armagan - In: European journal of operational research : EJOR 316 (2024) 3, pp. 899-905
Persistent link: https://www.econbiz.de/10014576763
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Optimization of power plant investments under uncertain renewable energy development paths - A multistage stochastic programming approach
Fürsch, Michaela; Nagl, Stephan; Lindenberger, Dietmar - 2012
decades. However, uncertainty about the progress of necessary infrastructure investments, public acceptance and cost … dispatchable power plants. Speci cally, uncertain future RES-E deployment paths induce uncertainty about the steepness of the …
Persistent link: https://www.econbiz.de/10010312753
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Stochastic optimization of trading strategies in sequential electricity markets
Kraft, Emil; Russo, Marianna; Keles, Dogan; Bertsch, … - 2021
-in and electricity prices. This uncertainty reflects on both the market outcomes and the quantity of renewable generation …
Persistent link: https://www.econbiz.de/10012587556
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Data-driven rolling horizon approach for dynamic design of supply chain distribution networks under disruption and demand uncertainty
Fattahi, Mohammad; Govindan, Kannan - In: Decision sciences 53 (2022) 1, pp. 150-180
Persistent link: https://www.econbiz.de/10013164982
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Stochastic single machine scheduling problem as a multi-stage dynamic random decision process
Roohnavazfar, Mina; Manerba, Daniele; Tiotsop, Lohic Fotio - In: Computational management science 18 (2021) 3, pp. 267-297
Persistent link: https://www.econbiz.de/10012615133
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Optimization of power plant investments under uncertain renewable energy development paths - A multistage stochastic programming approach
Nagel, Stefan; Fürsch, Michaela; Lindenberger, Dietmar - Energiewirtschaftliches Institut (EWI), Universität zu … - 2012
decades. However, uncertainty about the progress of necessary infrastructure investments, public acceptance and cost … of dispatchable power plants. Speci cally, uncertain future RES-E deployment paths induce uncertainty about the steepness …
Persistent link: https://www.econbiz.de/10010991545
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Multi-stage stochastic optimization of islanded utility-microgrids design after natural disasters
Kizito, Rodney; Liu, Zeyu; Li, Xueping; Sun, Kai - In: Operations research perspectives 9 (2022), pp. 1-18
Natural disasters (e.g., hurricanes) can cause widespread power outages within distribution networks and interrupted power supply to critical loads (e.g., grocery stores, hospitals, gas, fire, and police stations) that provide utility services. Microgrids are localized power grids that can...
Persistent link: https://www.econbiz.de/10014245457