Application of Data-Driven Tuned Fuzzy Inference System for Static Equivalencing of Power Systems with High Penetration of Renewable Energy | Zendy

Engidaw Abel Hailu | Zendy; George N. Nyakoe | Zendy; Christopher Maina Muriithi | Zendy

Open Access

Application of Data-Driven Tuned Fuzzy Inference System for Static Equivalencing of Power Systems with High Penetration of Renewable Energy

Author(s) -

Engidaw Abel Hailu,

George N. Nyakoe,

Christopher Maina Muriithi

Publication year - 2022

Publication title -

journal of electrical and computer engineering

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.318

H-Index - 25

eISSN - 2090-0155

pISSN - 2090-0147

DOI - 10.1155/2022/2971960

Subject(s) - electric power system , adaptive neuro fuzzy inference system , renewable energy , fuzzy logic , fuzzy inference system , computer science , robustness (evolution) , demand response , dynamic demand , control theory (sociology) , engineering , power (physics) , fuzzy control system , electricity , electrical engineering , biochemistry , physics , chemistry , control (management) , quantum mechanics , artificial intelligence , gene

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