In recent years, the wide utilization of renewable energy sources has brought some problems for the dispatching of generated energy. In recent technical papers are proposed some solutions to improve the renewable energy dispatching: i. e. it is possible to set up an optimal strategy to recharge electric vehicles, or use batteries storage systems, supercapacitors or fuel cells. The aim of this papers is the application of multicriteria analysis to design batteries energy storage systems. By means of Bayesian inference is possible to take into account some uncertainties of batteries characteristics and estimate the best choice for the design of the storage system

The application of Bayes inference in multicriteria analysis to design energy storage systems in renewable power generation / Chiodo, Elio; DI NOIA, LUIGI PIO; Rizzo, Renato. - (2013), pp. 728-733. (Intervento presentato al convegno International Conference on Clean Electrical Power: Renewable Energy Resources Impact, ICCEP 2013 tenutosi a Alghero nel 11-13 Giugno 2013) [10.1109/ICCEP.2013.6586937].

The application of Bayes inference in multicriteria analysis to design energy storage systems in renewable power generation

CHIODO, ELIO;DI NOIA, LUIGI PIO;RIZZO, RENATO
2013

Abstract

In recent years, the wide utilization of renewable energy sources has brought some problems for the dispatching of generated energy. In recent technical papers are proposed some solutions to improve the renewable energy dispatching: i. e. it is possible to set up an optimal strategy to recharge electric vehicles, or use batteries storage systems, supercapacitors or fuel cells. The aim of this papers is the application of multicriteria analysis to design batteries energy storage systems. By means of Bayesian inference is possible to take into account some uncertainties of batteries characteristics and estimate the best choice for the design of the storage system
2013
The application of Bayes inference in multicriteria analysis to design energy storage systems in renewable power generation / Chiodo, Elio; DI NOIA, LUIGI PIO; Rizzo, Renato. - (2013), pp. 728-733. (Intervento presentato al convegno International Conference on Clean Electrical Power: Renewable Energy Resources Impact, ICCEP 2013 tenutosi a Alghero nel 11-13 Giugno 2013) [10.1109/ICCEP.2013.6586937].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11588/561918
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