Výsledky vyhledávání - "stochastic mixed integer linear programming"
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1
Optimizing the aluminum supply chain network subject to the uncertainty of carbon emissions trading market
ISSN: 0301-4207, 1873-7641Vydáno: Elsevier Ltd 01.01.2023Vydáno v Resources policy (01.01.2023)“… This paper investigates these impacts on the strategic design and the tactic operations of the aluminum supply chain by constructing a stochastic mixed-integer linear programming (SMILP…”
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Journal Article -
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A mathematical programming model for optimizing the staff allocation in radiotherapy under uncertain demand
ISSN: 0377-2217, 1872-6860Vydáno: Elsevier B.V 16.10.2018Vydáno v European journal of operational research (16.10.2018)“… In RT, delays in the start of treatment have shown to increase the risk of tumor progression in various cancer types, and patients experience greater psychological distress when subject to longer waiting times…”
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Journal Article -
3
Economic–environmental hierarchical frequency management of a droop-controlled islanded microgrid
ISSN: 0196-8904, 1879-2227Vydáno: Kidlington Elsevier Ltd 01.12.2014Vydáno v Energy conversion and management (01.12.2014)“…, lower inertia potential of inverter-interfaced distributed energy resources (DERs) makes the frequency a vital factor in the microgrid energy management system that should be managed subject to the economic…”
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4
Impact of Dynamic Thermal Rating on optimal siting and sizing of energy storage systems under Renewable Portfolio Standards requirements
ISSN: 2352-4677, 2352-4677Vydáno: Elsevier Ltd 01.12.2022Vydáno v Sustainable Energy, Grids and Networks (01.12.2022)“…Renewable Portfolio Standards (RPS), enforced as part of environmental regulations, are taking precedence worldwide to promote investments in renewable energy…”
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5
Stochastic programming approaches for decision-dependent uncertainty and gradual uncertainty resolution
ISBN: 9781109214000, 1109214006Vydáno: ProQuest Dissertations & Theses 01.01.2009“…This dissertation focuses on the multistage stochastic programing approaches for decision-dependent uncertainty and gradual uncertainty resolution. The…”
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Dissertation

