Open AccessOptimal state estimation techniques for accurate measurements in internet of things enabled microgrids using deep neural networks
Author(s) -
Sudhakar Rao Padupanambur,
Mohammed Riyaz Ahmed,
B.P. Divakar
Publication year - 2022
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.v12i4.pp4288-4301
Subject(s) - microgrid , benchmark (surveying) , computer science , smart grid , electric power system , kalman filter , real time computing , preprocessor , artificial neural network , data pre processing , state (computer science) , renewable energy , data mining , control engineering , distributed computing , machine learning , power (physics) , artificial intelligence , engineering , algorithm , physics , electrical engineering , geodesy , control (management) , quantum mechanics , geography
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