Please use this identifier to cite or link to this item: https://idr.nitk.ac.in/jspui/handle/123456789/7028
Full metadata record
DC FieldValueLanguage
dc.contributor.authorManikonda, S.K.G.
dc.contributor.authorGaonkar, D.N.
dc.date.accessioned2020-03-30T09:58:26Z-
dc.date.available2020-03-30T09:58:26Z-
dc.date.issued2018
dc.identifier.citationIndia International Conference on Power Electronics, IICPE, 2018, Vol.2018-December, , pp.-en_US
dc.identifier.urihttp://idr.nitk.ac.in/jspui/handle/123456789/7028-
dc.description.abstractThe increasing need for energy in the recent times is unprecedented, which is driving the penetration of renewable sources in distribution system in a big way. The increasing number of renewable sources in a system has made the operation, control and protection of the system very complex. One of the key issues in seamless interconnection of renewable energy sources to a system is islanding. This paper proposes a new method to detect islanding in an efficient way by employing transfer learning based technique for image classification. The results show that the proposed method can successfully classify islanding events with a good accuracy. � 2018 IEEE.en_US
dc.titleA New Islanding Detection Method Using Transfer Learning Techniqueen_US
dc.typeBook chapteren_US
Appears in Collections:2. Conference Papers

Files in This Item:
There are no files associated with this item.


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.