Enhanced data communication models for real‐time power system monitoring in a distributed platform

Author:

Kannan Nithiyananthan1ORCID,Thomas Sunil2,Mobarak Youssef13,Alharbi Fahd1

Affiliation:

1. Department of Electrical Engineering, Faculty of Engineering Rabigh King Abdulaziz University Jeddah Saudi Arabia

2. Department of Electrical and Electronics Engineering BITS Pilani Dubai Campus Dubai United Arab Emirates

3. Faculty of Energy Engineering Aswan University Aswan Egypt

Funder

Deanship of Research Grant, King Abdulaziz University, Jeddah, The authors, therefore, gratefully acknowledge the DSR technical and financial support

Publisher

Wiley

Subject

Electrical and Electronic Engineering

Reference42 articles.

1. A novel method to implement MPPT algorithms for PV panels on a MATLAB/SIMULINK environment;Thomas S;J Adv Res Dyn Control Syst,2018

2. Wireless integrated‐sensor network based subsea tunnel monitoring system;K G;J Adv Res Dyn Control Syst,2018

3. GSM based dual power enhanced LED display notice board with motion detector;Gowrishankar K;Int J Eng Technol,2018

4. Application of cluster analysis and association analysis model based power system fault identification;Sing TY;Eur J Sci Res,2016

5. Enhanced R package-based cluster analysis fault identification models for three phase power system network

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