Approaches: Model Predictive Control, Support Vector Machine and Simple Linear Regression for the Transformation of the CEET Power Grid in Lomé, Togo, into a smart grid-Reference-Cited by-同舟云学术

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Approaches: Model Predictive Control, Support Vector Machine and Simple Linear Regression for the Transformation of the CEET Power Grid in Lomé, Togo, into a smart grid

Published:2024-06-03 Issue: Volume:16 Page:1-10
ISSN:
Container-title:2024 1st International Conference on Smart Energy Systems and Artificial Intelligence (SESAI)
language:
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Author:

Komla Kpomoné APALOO BARA¹,Yao BOKOVI²,Tchéyi Gnadi PALANGA Eyouléki¹,Pidéname TAKOUDA³

Affiliation:

1. University of Lomé, Polytechnic School of Lomé,Engineering Sciences Research Laboratory,Department of Electrical Engineering,Lomé,Togo

2. University of Lomé, Polytechnic School of Lomé,Regional Center of Excellence for Electricity Management,Department of Electrical Engineering,Lomé,Togo

3. Electric Energy Company of Togo,Lomé,Togo

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10599399/10599400/10599453.pdf?arnumber=10599453

Reference27 articles.

1. SMART GRID smart electricity networks;SOUISSI;Report, University Hassan 1er, (Maroc), <<,2016

2. Short-term prediction of wind power production using artificial neural networks;Bouneb

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