Machine Learning for Energy Systems Optimization
This editorial overviews the contents of the Special Issue “Machine Learning for Energy Systems 2021” and review the trends in machine learning (ML) techniques for energy system (ES) optimization [...]
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-06-01
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Series: | Energies |
Subjects: | |
Online Access: | https://www.mdpi.com/1996-1073/15/11/4116 |
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author | Insu Kim Beopsoo Kim Denis Sidorov |
author_facet | Insu Kim Beopsoo Kim Denis Sidorov |
author_sort | Insu Kim |
collection | DOAJ |
description | This editorial overviews the contents of the Special Issue “Machine Learning for Energy Systems 2021” and review the trends in machine learning (ML) techniques for energy system (ES) optimization [...] |
first_indexed | 2024-03-10T01:20:52Z |
format | Article |
id | doaj.art-5285a41a672c46038c0f23ef686e5903 |
institution | Directory Open Access Journal |
issn | 1996-1073 |
language | English |
last_indexed | 2024-03-10T01:20:52Z |
publishDate | 2022-06-01 |
publisher | MDPI AG |
record_format | Article |
series | Energies |
spelling | doaj.art-5285a41a672c46038c0f23ef686e59032023-11-23T14:00:38ZengMDPI AGEnergies1996-10732022-06-011511411610.3390/en15114116Machine Learning for Energy Systems OptimizationInsu Kim0Beopsoo Kim1Denis Sidorov2Department of Electrical and Computer Engineering, Inha University, Incheon 22212, KoreaDepartment of Electrical and Computer Engineering, Inha University, Incheon 22212, KoreaApplied Mathematics Department, Energy Systems Institute, Siberian Branch of Russian Academy of Sciences, Irkutsk 664033, RussiaThis editorial overviews the contents of the Special Issue “Machine Learning for Energy Systems 2021” and review the trends in machine learning (ML) techniques for energy system (ES) optimization [...]https://www.mdpi.com/1996-1073/15/11/4116n/a |
spellingShingle | Insu Kim Beopsoo Kim Denis Sidorov Machine Learning for Energy Systems Optimization Energies n/a |
title | Machine Learning for Energy Systems Optimization |
title_full | Machine Learning for Energy Systems Optimization |
title_fullStr | Machine Learning for Energy Systems Optimization |
title_full_unstemmed | Machine Learning for Energy Systems Optimization |
title_short | Machine Learning for Energy Systems Optimization |
title_sort | machine learning for energy systems optimization |
topic | n/a |
url | https://www.mdpi.com/1996-1073/15/11/4116 |
work_keys_str_mv | AT insukim machinelearningforenergysystemsoptimization AT beopsookim machinelearningforenergysystemsoptimization AT denissidorov machinelearningforenergysystemsoptimization |