Applications of Machine Learning Methods for Sustainable Development in Power Engineering
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F23%3A00366694" target="_blank" >RIV/68407700:21230/23:00366694 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Applications of Machine Learning Methods for Sustainable Development in Power Engineering
Original language description
This document aims to summarise the learnings from the first two years of PhD level study from the perspective of the author, who is focused on exploring the applications of Machine Learning based methodologies within power engineering systems. The document first explores the motivation for the chosen topic, then covers the current learnings about the state-of-the art in the field and follows with specific research project proposals aiming to answer research questions connected to the dissertation topic. In the last part of the document, key research aims are laid out, and a formal topic for the dissertation is proposed, as a material for discussion with the expert committee.
Czech name
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Czech description
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Classification
Type
O - Miscellaneous
CEP classification
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OECD FORD branch
20205 - Automation and control systems
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů