Manikonda, S.K.G.Gaonkar, D.N.2026-02-0620191st IEEE International Conference on Sustainable Energy Technologies and Systems, ICSETS 2019, 2019, Vol., , p. 109-114https://doi.org/10.1109/ICSETS.2019.8744778https://idr.nitk.ac.in/handle/123456789/31096The 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.ClassificationDistributed GenerationIslanding DetectionMachine LearningRenewable Energy SourcesTransfer Learning