Exploiting Machine Learning Applications for Smart Grids

Kadir Günel, Ali Riza Ekti

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

6 Scopus citations

Abstract

Machine learning methods are promising candidate to analyze and to extract features for designing Industry 4.0 based modern industrial systems which now generates huge amount of data. This data cannot be processed with conventional methods therefore, machine learning systems can play the role of the brain for the modern industrial systems especially for smart grid in which an information layer is added to the traditional electricity transmission and distribution network for data collection, storage and analysis. In this study, we discuss machine learning algorithms and give brief study on the applications for smart grid.

Original languageEnglish
Title of host publication16th International Multi-Conference on Systems, Signals and Devices, SSD 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages679-685
Number of pages7
ISBN (Electronic)9781728118208
DOIs
StatePublished - Mar 2019
Externally publishedYes
Event16th International Multi-Conference on Systems, Signals and Devices, SSD 2019 - Istanbul, Turkey
Duration: Mar 21 2019Mar 24 2019

Publication series

Name16th International Multi-Conference on Systems, Signals and Devices, SSD 2019

Conference

Conference16th International Multi-Conference on Systems, Signals and Devices, SSD 2019
Country/TerritoryTurkey
CityIstanbul
Period03/21/1903/24/19

Funding

This work is supported by NPRP grant 10–1223–160045 from the Qatar National Research Fund (a member of Qatar Foundation). The statements made herein are solely the responsibility of the authors. This work is supported by NPRP grant 10-1223-160045 from the Qatar National Research Fund (a member of Qatar Foundation). The statements made herein are solely the responsibility of the authors.

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