Machine Learning and Data Mining Applications in Power Systems
This Special Issue was intended as a forum to advance research and apply machine-learning and data-mining methods in order to facilitate the development of modern electric power systems, grids and devices, smart grids and protection devices, as well as to develop tools for more accurate and efficien...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2022-02-01
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| Series: | Energies |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1996-1073/15/5/1676 |
| _version_ | 1797475301655052288 |
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| author | Zbigniew Leonowicz Michal Jasinski |
| author_facet | Zbigniew Leonowicz Michal Jasinski |
| author_sort | Zbigniew Leonowicz |
| collection | DOAJ |
| description | This Special Issue was intended as a forum to advance research and apply machine-learning and data-mining methods in order to facilitate the development of modern electric power systems, grids and devices, smart grids and protection devices, as well as to develop tools for more accurate and efficient power system analysis [...] |
| first_indexed | 2024-03-09T20:42:13Z |
| format | Article |
| id | doaj.art-d9815d8b668447269f0263ce46ae278d |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-03-09T20:42:13Z |
| publishDate | 2022-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-d9815d8b668447269f0263ce46ae278d2023-11-23T22:55:53ZengMDPI AGEnergies1996-10732022-02-01155167610.3390/en15051676Machine Learning and Data Mining Applications in Power SystemsZbigniew Leonowicz0Michal Jasinski1Faculty of Electrical Engineering, Wroclaw University of Science and Technology, Wyb. Wyspianskiego 27, 50370 Wroclaw, PolandFaculty of Electrical Engineering, Wroclaw University of Science and Technology, Wyb. Wyspianskiego 27, 50370 Wroclaw, PolandThis Special Issue was intended as a forum to advance research and apply machine-learning and data-mining methods in order to facilitate the development of modern electric power systems, grids and devices, smart grids and protection devices, as well as to develop tools for more accurate and efficient power system analysis [...]https://www.mdpi.com/1996-1073/15/5/1676n/a |
| spellingShingle | Zbigniew Leonowicz Michal Jasinski Machine Learning and Data Mining Applications in Power Systems Energies n/a |
| title | Machine Learning and Data Mining Applications in Power Systems |
| title_full | Machine Learning and Data Mining Applications in Power Systems |
| title_fullStr | Machine Learning and Data Mining Applications in Power Systems |
| title_full_unstemmed | Machine Learning and Data Mining Applications in Power Systems |
| title_short | Machine Learning and Data Mining Applications in Power Systems |
| title_sort | machine learning and data mining applications in power systems |
| topic | n/a |
| url | https://www.mdpi.com/1996-1073/15/5/1676 |
| work_keys_str_mv | AT zbigniewleonowicz machinelearninganddataminingapplicationsinpowersystems AT michaljasinski machinelearninganddataminingapplicationsinpowersystems |