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Committee Date Time Place Paper Title / Authors Abstract Paper #
CCS, NLP 2023-06-09
11:10		 Tokyo Tokyo City Univ. A study on learning Koopman operators from synchrophasor data on distribution voltage amplitudes
Tadahiro Yano, Yoshihiko Susuki (Kyoto Univ.) NLP2023-21 CCS2023-9		 In recent years, the so-called micro-Phasor Measurement Unit ($mu$PMU) has become a promising new option for managing AC... [more] NLP2023-21 CCS2023-9
pp.35-38
NLP 2017-11-05
15:55		 Miyagi Research Institute of Electrical Communication Tohoku University An Analysis on Gas-Engine Generators in Microgrid with Reachable Sets under Disturbance
Nodoka Asayama, Takashi Hikihara (Kyoto Univ.) NLP2017-71		 A microgrid is expected for expanding introduction of renewable energy and improving the power quality. Main components ... [more] NLP2017-71
pp.35-40
NC, MBE
(Joint)		 2009-03-12
13:00		 Tokyo Tamagawa Univ. Approximation of Dynamical Systems by Continuous Time Recurrent Neural Networks -- Extension to Non-autonomous Systems, and Approximate Extended Conditions --
Yuichi Nakamura, Masahiro Nakagawa (Nagaoka Univ. of Tech.) NC2008-141		 As the theoretic capability of recurrent neural networks, approximate realization to trajectories of dynamical systems w... [more] NC2008-141
pp.225-230
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