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Inicio  /  Applied Sciences  /  Vol: 11 Par: 14 (2021)  /  Artículo
ARTÍCULO
TITULO

Day-Ahead Residential Electricity Demand Response Model Based on Deep Neural Networks for Peak Demand Reduction in the Jordanian Power Sector

Ayas Shaqour    
Hooman Farzaneh and Huthaifa Almogdady    

Resumen

The presented model can be used as a baseline model for the implementation of peak demand response systems in Jordan. The day-ahead prediction model can aid in giving better demand predictions in order to achieve more optimized day-ahead unit commitment scheduling for the Jordanian power sector.

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