査読付き国際会議プロシーディングス等 | 曽我部研究室 SogabeLab 国立大学法人電気通信大学│AI 人工知能 量子

T. Sogabe, C.-Y. Hung, R. Tamaki, S. Tomic, N. Ekins-Daukes, Y. Okada, “Fabrication of Erbium Doped GaAs Intermediate-Band Solar Cell”, Proceeding of 37th European Photovoltaic Solar Energy Conference and Exhibition, 13 – 19, 3-936338-73-6 (2020) 10.4229/EUPVSEC20202020-1AO.2.3

H. Ichikawa, S. Yokogawa, Y. Kawakita, K. Sawada, T. Sogabe, A. Minegishi, H. Uehara , “An Approach to Renewable-Energy Dominant Grids via Distributed Electrical Energy 　　Platform for IoT Systems”, IEEE Smart Grid Comm (2019).DOI:  10.1109/SmartGridComm.2019.8909762

 K.Takahashi, T.Numajiri, K.Sakamoto, K.Yamaguchi and T.Sogabe, “Development of generic CNN deep learning method using feature graph”, CANDAR2018, 2018

T. Sogabe, H. Ichikawa, S. Katsuyoshi, Y. Koichi, M. Sogabe, T. Sato, Y. Suwa, “Optimization of Decentralized Renewable Energy System by Weather Forecasting and Deep Machine Learning Techniques”, IEEE PES-ISGT-2016 Asian Conference, 2016.12.1,

Mae. Yu Jeco , T. Sogabe , A.Ogura , N. Miyashita, R.Tamaki, Y. Okada, “Laser beam induced current (LBIC) mapping of InGaP/GaAs/Ge triple junction solar cells with luminescence coupling”, 43rd IEEE Photovoltaics Specialists Conference, 2016.6,