Domestic Journal Articles (Japanese)
- Fumiya Watanabe, Takahiro Kawaguchi, Takayuki Ishizaki, Hideaki Takenaka, Takashi Y. Nakajima and Jun-ichi Imura: "Day-ahead Scheduling Method for Electricity Markets using Neural Networks: Transaction Strategy under Uncertainty of Renewable Energy Generation", SICE Journal of Control, Measurement, and System Integration, vol. 56, no. 2, (accepted), 2020.
- Fumiya Watanabe, Takahiro Kawaguchi, Takayuki Ishizaki, Hideaki Takenaka, Takashi Y. Nakajima and Jun-ichi Imura: "Machine Learning Approach to Day-ahead Scheduling for Multi-period Energy Markets", SICE Journal of Control, Measurement, and System Integration, vol. 55, no. 10, pp.593-601, 2019.
- Fumiya Watanabe, Tomonori Sadamoto, Takayuki Ishizaki, Jun-ichi Imura：“Average State Kalman Filter for Large-Scale Stochastic Networked Linear Systems“, SICE Journal of Control, Measurement, and System Integration, vol. 52, no. 8, pp.419-427, 2016.
Refereed Conference Proceedings
- Fumiya Watanabe, Takahiro Kawaguchi, Takayuki Ishizaki, Hideaki Takenaka, Takashi Y. Nakajima and Jun-ichi Imura: "Day-ahead Strategic Marketing of Energy Prosumption: A Machine Learning Approach Based on Neural Networks", 2019 European Control Conference, pp.3910-3915, 2019.
- Fumiya Watanabe, Takahiro Kawaguchi, Takayuki Ishizaki, and Jun-ichi Imura: "Numerical Study for Day-ahead Scheduling Based on Machine Learning Approaches", SICE International Symposium on Control Systems, (position paper), 2019.
- Fumiya Watanabe, Takahiro Kawaguchi, Takayuki Ishizaki, Hideaki Takenaka, Takashi Y. Nakajima and Jun-ichi Imura: "Machine Learning Approach to Day-ahead Scheduling for Multi-period Energy Markets under Renewable Energy Generation Uncertainty", 57th IEEE Conference on Decision and Control, pp.4020-4025, 2018.
- Fumiya Watanabe, Tomonori Sadamoto, Takayuki Ishizaki, Jun-ichi Imura：“Average State Kalman Filter for Large-Scale Stochastic Networked Linear Systems“, 2015 European Control Conference, pp.2823-2828, 2015.
Thesis
- "A Sparse Linear System Solver for Gas-liquid Two-phase Flow Simulation", Department of Energy Sciences, Interdisciplinary Graduate School of Science and Engineering, Tokyo Institute of Technology, Master thesis, Supervisor: Prof. Takayuki Aoki, 2017.
- "Average State Kalman Filter for Large-Scale Stochastic Networked Linear Systems", Department of Systems and Control Engineering, School of Engineering, Tokyo Institute of Technology, Bachelor thesis, Supervisor: Prof. Jun-ichi Imura, 2015.