Artificial neural networks for controlling wind-PV power systems: A review

Renewable and Sustainable Energy Reviews

Volumn 29, Issue , 2014, Pages 804-827

  Karabacak, Kerim ^a   Cetin, Numan ^b  

^a DUMLUPINAR UNIVERSITY   (Turkey)

^b EGE UNIVERSITY   (Turkey)

Author keywords

Artificial neural networks; Control systems; Hybrid power systems; Photovoltaic; Renewable energy; Wind energy

Indexed keywords

CONTROL SYSTEMS; ELECTRIC POWER SYSTEM CONTROL; ENERGY CONVERSION; INTELLIGENT SYSTEMS; NEURAL NETWORKS; POWER CONTROL; SYSTEMS ANALYSIS; WIND POWER;

CONVENTIONAL ENERGY SYSTEMS; HYBRID POWER SYSTEMS; HYBRID RENEWABLE ENERGY SYSTEMS; NEURAL NETWORK APPLICATION; NEURAL NETWORK STRUCTURES; PHOTOVOLTAIC; RENEWABLE ENERGIES; WIND ENERGY CONVERSION SYSTEM;

ENERGY EFFICIENCY;

EID: 84885154611     PISSN: 13640321     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.rser.2013.08.070     Document Type: Review

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