z-logo
open-access-imgOpen Access
Power Quality Improvement of Photovoltaic Distributed Generation System using Artificial Neural Network for Environmental Preservation
Author(s) -
Anshul Agarwal,
Shubham Kumar Singh,
Tirupathiraju Kanumuri,
Harish Kumar
Publication year - 2022
Publication title -
journal of engineering research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.168
H-Index - 9
eISSN - 2307-1885
pISSN - 2307-1877
DOI - 10.36909/jer.icmet.17185
Subject(s) - photovoltaic system , maximum power point tracking , renewable energy , computer science , electric power system , artificial neural network , distributed generation , grid connected photovoltaic power system , control theory (sociology) , control engineering , electronic engineering , engineering , voltage , inverter , power (physics) , electrical engineering , artificial intelligence , control (management) , physics , quantum mechanics

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom