
Machine learning for prediction models to mitigate the voltage deviation in photovoltaic-rich distributed network
Author(s) -
Mohammed Baniyounis,
Samer Z. Salah,
Jasim A. Ghaeb
Publication year - 2023
Publication title -
international journal of power electronics and drive systems/international journal of electrical and computer engineering
Language(s) - English
Resource type - Journals
eISSN - 2722-2578
pISSN - 2722-256X
DOI - 10.11591/ijece.v13i1.pp55-68
Subject(s) - photovoltaic system , mean squared error , voltage , renewable energy , computer science , gaussian , heuristic , root mean square , power (physics) , mathematical optimization , control theory (sociology) , statistics , mathematics , artificial intelligence , engineering , electrical engineering , physics , control (management) , quantum mechanics