A multiperiodal management method at user level for storage systems using artificial neural network forecasts

A multiperiodal management method at user level for storage systems using artificial neural network forecasts

The increase of renewable non-programmable production and the necessity to locally self-consume the produced energy led to utilize ever more storage systems. To correctly utilize storage systems, an opportune management method has to be utilized. This paper implements a multi-period management metho...

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Bibliographic Details
Main Authors: Grazia Belli, Giovanni Brusco, Alessandro Burgio, Daniele Menniti, Anna Pinnarelli, Nicola Sorrentino, Pasquale Vizza
Format: Article
Language:English
Published: EEEIC International Publishing 2016-11-01
Series:Transactions on Environment and Electrical Engineering
Subjects:
storage management
multi-pediod scheduling
prosumer
optimal energy management
Online Access:https://teee.eu/index.php/TEEE/article/view/60

Internet

https://teee.eu/index.php/TEEE/article/view/60

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