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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| NC, MBE, NLP, MICT (Joint) [detail] |
2024-01-25 16:50 |
Tokushima | Naruto University of Education | Analysis of Synchrophasor Data in a Distribution Grid Using Koopman Mode Decomposition toward Dimensionality Reduction Tadahiro Yano, Yoshihiko Susuki (Kyoto Univ.)  NLP2023-118 MICT2023-73 MBE2023-64 |
In this report, we study a method to reduce the dimension on highly-resolved time series data of voltage phasors measure... [more] | NLP2023-118 MICT2023-73 MBE2023-64 pp.162-165 |
| 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, MSS | 2023-03-15 10:40 |
Nagasaki | (Primary: On-site, Secondary: Online) |
Spectral analysis of synchropahsor data in a campus distribution grid: Comparison of numerical methods Munetaka Noguchi (Osaka Prefecture Univ.), Yoshihiko Susuki (Kyoto Univ.), Atsushi Ishigame (Osaka Metropolitan Univ.) MSS2022-64 NLP2022-109 |
Recently, the so-called micro-Phasor Measurement Unit (μPMU) with high-resolution capability has been expected as a new ... [more] | MSS2022-64 NLP2022-109 pp.11-16 |
| NLP | 2022-11-25 15:40 |
Shiga | (Primary: On-site, Secondary: Online) |
A study on Participation factor for nonlinear dynamical systems based on Koopman mode decomposition Kenji Takamichi (Osaka Prefecture Univ.), Yoshihiko Susuki (Kyoto Univ.), Marcos Netto (NREL), Atsushi Ishigame (Osaka Prefecture Univ.) NLP2022-79 |
The so-called participation factor analysis has been used to evaluate the relative contribution between state vari- able... [more] | NLP2022-79 pp.103-108 |
| NLP, CCS | 2021-06-11 14:20 |
Online | Online | A Study on Participation Factors for Systems Described by Nonlinear Differential-Algebraic Equations via Koopman Mode Decomposition Kenji Takamichi (Osaka Pref Univ.), Yoshihiko Susuki (Osaka Pref Univ./JST), Atsushi Ishigame (Osaka Pref Univ.) NLP2021-8 CCS2021-8 |
The technique of participation factors has been used for quantifying connections between system variables and modes in L... [more] | NLP2021-8 CCS2021-8 pp.34-39 |
| IBISML | 2020-10-21 16:15 |
Online | Online | IBISML2020-25 |
Analysis and prediction of dynamic processes using data are fundamental in a variety of scientific and industrial fields... [more] | IBISML2020-25 pp.43-44 |
| CCS, NLP | 2016-06-13 11:30 |
Tokyo | Kikai-Shinko-Kaikan Bldg. | Optimal parameter selection for kernel dynamic mode decomposition Wataru Kurebayashi (Aomori Univ.), Sho Shirasaka, Hiroya Nakao (Tokyo Tech.) NLP2016-21 CCS2016-4 |
A novel mode decomposition method based on the dynamical systems theory, called the dynamic mode decomposition (DMD), ha... [more] | NLP2016-21 CCS2016-4 pp.13-14 |
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