Optimization of Hybrid Power Systems Performance Based on Adaptive Neuro-Fuzzy Inference System | Zendy

Maroof Qaid Al-mahjari | Zendy; Abdulaziz M. Al-Dobhany | Zendy

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Optimization of Hybrid Power Systems Performance Based on Adaptive Neuro-Fuzzy Inference System

Author(s) -

Maroof Qaid Al-mahjari,

Abdulaziz M. Al-Dobhany

Publication year - 2016

Publication title -

journal of science and technology

Language(s) - English

Resource type - Journals

eISSN - 2410-5163

pISSN - 1607-2073

DOI - 10.20428/jst.v21i1.1020

Subject(s) - adaptive neuro fuzzy inference system , computer science , electric power system , mean squared error , matlab , electricity generation , renewable energy , hybrid system , fuzzy logic , grid , control theory (sociology) , generator (circuit theory) , hybrid power , power (physics) , control engineering , automotive engineering , fuzzy control system , reliability engineering , engineering , control (management) , artificial intelligence , machine learning , mathematics , statistics , physics , geometry , quantum mechanics , electrical engineering , operating system

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