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Short-Term Load Forecasting by Artificial Intelligent Technologies
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Energies2019,12, 57 (2) When the SOC continuously dropped to SOClow − 5%, the PEMFC current was increased according to the required loaduntil the SOCwas raised toSOClow +5%,where thePEMFC providedadefault currentof20A. (3) WhenthebatterySOCreachedSOChigh, thePEMFCwasswitchedoff. Figure2.Thehybridpowermodel. ȱ (a)ȱ ȱ (b)ȱ Figure3.Powermanagement. (a)Theprotonexchangemembranefuelcell (PEMFC)management [39]. (b)Theelectrolyzermanagement [33]. 86
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Short-Term Load Forecasting by Artificial Intelligent Technologies
Title
Short-Term Load Forecasting by Artificial Intelligent Technologies
Authors
Wei-Chiang Hong
Ming-Wei Li
Guo-Feng Fan
Editor
MDPI
Location
Basel
Date
2019
Language
English
License
CC BY 4.0
ISBN
978-3-03897-583-0
Size
17.0 x 24.4 cm
Pages
448
Keywords
Scheduling Problems in Logistics, Transport, Timetabling, Sports, Healthcare, Engineering, Energy Management
Category
Informatik
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Short-Term Load Forecasting by Artificial Intelligent Technologies