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DC Field | Value | Language |
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dc.contributor.author | Manikonda, S.K.G. | |
dc.contributor.author | Gaonkar, D.N. | |
dc.date.accessioned | 2020-03-30T09:58:27Z | - |
dc.date.available | 2020-03-30T09:58:27Z | - |
dc.date.issued | 2019 | |
dc.identifier.citation | 1st IEEE International Conference on Sustainable Energy Technologies and Systems, ICSETS 2019, 2019, Vol., , pp.109-114 | en_US |
dc.identifier.uri | http://idr.nitk.ac.in/jspui/handle/123456789/7061 | - |
dc.description.abstract | The escalating need for energy in the recent times is unprecedented, which is driving the penetration of renewable energy sources in distribution system in a big way. The growing number of renewable sources in a system has made the control, operation and protection of the system very complex. Among others, one of the key issues in seamless interconnection of renewable energy sources to a system is islanding. This paper proposes a new and efficient islanding detection method that employs transfer learning based technique. The results show that the proposed method can successfully classify islanding events with a good accuracy. � 2019 IEEE. | en_US |
dc.title | A Novel Islanding Detection Method Based on Transfer Learning Technique Using VGG16 Network | en_US |
dc.type | Book chapter | en_US |
Appears in Collections: | 2. Conference Papers |
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