Risk assessment and its visualization of power tower under typhoon disaster based on machine learning algorithms
For power system disaster prevention and mitigation, risk assessment and visualization under typhoon disaster have important scientific significance and engineering value. However, current studies have problems such as incomplete factors, strong subjectivity, complicated calculations, and so on. The...
| Main Authors: | , , , , , , , |
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| Other Authors: | |
| Format: | Journal Article |
| Language: | English |
| Published: |
2019
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/106260 http://hdl.handle.net/10220/48903 http://dx.doi.org/10.3390/en12020205 |