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Journal: Electronics, 2022
Volume: 11
Number: 247
247
Article:
An Extreme Learning Machine Based Adaptive VISMA for Stability Enhancement of Renewable Rich Power Systems
Authors:
by
Herlambang Setiadi, Rakibuzzaman Shah, Md Rabiul Islam, Dimas Anton Asfani, Tigor Hamonangan Nasution, Muhammad Abdillah, Prisma Megantoro and Awan Uji Krismanto
Link:
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Cite
Setiadi, H.; Shah, R.; Islam, M.R.; Asfani, D.A.; Nasution, T.H.; Abdillah, M.; Megantoro, P.; Krismanto, A.U. An Extreme Learning Machine Based Adaptive VISMA for Stability Enhancement of Renewable Rich Power Systems. Electronics 2022, 11, 247. https://doi.org/10.3390/electronics11020247
Setiadi H, Shah R, Islam MR, Asfani DA, Nasution TH, Abdillah M, Megantoro P, Krismanto AU. An Extreme Learning Machine Based Adaptive VISMA for Stability Enhancement of Renewable Rich Power Systems. Electronics. 2022; 11(2):247. https://doi.org/10.3390/electronics11020247
Chicago/Turabian StyleSetiadi, Herlambang, Rakibuzzaman Shah, Md Rabiul Islam, Dimas Anton Asfani, Tigor Hamonangan Nasution, Muhammad Abdillah, Prisma Megantoro, and Awan Uji Krismanto. 2022. "An Extreme Learning Machine Based Adaptive VISMA for Stability Enhancement of Renewable Rich Power Systems" Electronics 11, no. 2: 247. https://doi.org/10.3390/electronics11020247
APA StyleSetiadi, H., Shah, R., Islam, M. R., Asfani, D. A., Nasution, T. H., Abdillah, M., Megantoro, P., & Krismanto, A. U. (2022). An Extreme Learning Machine Based Adaptive VISMA for Stability Enhancement of Renewable Rich Power Systems. Electronics, 11(2), 247. https://doi.org/10.3390/electronics11020247
