DEVELOPMENT OF ELECTRONIC MODULE FOR FAULT DETECTION, CLASSIFICATION, AND CONTINGENCY ANALYSIS OF POWER SYSTEM
The main, novel contribution of this research works is the application of TransformerEncoder, a new machine-learning (ML) method or fault detection and classification of faults and to perform contingency-analysis of electric power-systems. Furthermore, this new model has also successfully been imp...
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| Main Author: | |
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| Format: | Dissertations |
| Language: | Indonesia |
| Online Access: | https://digilib.itb.ac.id/gdl/view/74901 |
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| Institution: | Institut Teknologi Bandung |
| Language: | Indonesia |