Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Yoongun Jung"'
Publikováno v:
IEEE Access, Vol 8, Pp 182054-182064 (2020)
This paper proposes a recurrent neural network (RNN)-based maximum frequency deviation forecasting model for power systems with high photovoltaic power (PV) penetration. The proposed RNN model extracts the nonlinear features and invariant structures
Externí odkaz:
https://doaj.org/article/78c137a3f1e24905a4d261b41a8b2083
Publikováno v:
Applied Sciences, Vol 11, Iss 19, p 8979 (2021)
Modern distribution networks face an increasing number of challenges in maintaining balanced grid voltages because of the rapid increase in single-phase distributed generators. Because of the proliferation of inverter-based resources, such as photovo
Externí odkaz:
https://doaj.org/article/080d848f2ecf44b1b58a5c24e1d9a047
Publikováno v:
IEEE Access, Vol 8, Pp 182054-182064 (2020)
This paper proposes a recurrent neural network (RNN)-based maximum frequency deviation forecasting model for power systems with high photovoltaic power (PV) penetration. The proposed RNN model extracts the nonlinear features and invariant structures
Publikováno v:
Applied Sciences
Volume 11
Issue 19
Applied Sciences, Vol 11, Iss 8979, p 8979 (2021)
Volume 11
Issue 19
Applied Sciences, Vol 11, Iss 8979, p 8979 (2021)
Modern distribution networks face an increasing number of challenges in maintaining balanced grid voltages because of the rapid increase in single-phase distributed generators. Because of the proliferation of inverter-based resources, such as photovo