Clustering Approach for the Efficient Solution of Multiscale Stochastic Programming Problems: Application to Energy Hub Design and Operation under Uncertainty

The management of the supply chain for enterprise-wide operations generally consists of strategic, tactical, and operational decision stages dependent on one another and affecting various time scales. Their integration usually leads to multiscale models that are computationally intractable. The desi...

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Veröffentlicht in:	Processes Jg. 11; H. 4; S. 1046
Hauptverfasser:	Alkatheri, Mohammed, Alhameli, Falah, Betancourt-Torcat, Alberto, Almansoori, Ali, Elkamel, Ali
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Basel MDPI AG 01.04.2023
Schlagworte:	Algorithms Alternative energy sources Case studies Clustering Costs Decision making Design optimization Efficiency Electricity Emissions Energy industry Energy resources Energy sources Energy storage Greenhouse gases Hydrogen storage Integer programming Intermittency Linear programming Mathematical programming Mixed integer Monte Carlo simulation Multiple objective analysis Optimization models Renewable energy Renewable resources Scale models Scheduling Statistical analysis Statistical methods Statistics Stochastic models Stochastic programming Superstructures Supply chains Uncertainty
ISSN:	2227-9717, 2227-9717
Online-Zugang:	Volltext
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