Research on Thermal Comfort by Analyzing LF/HF Value and Heat Flow Rate
Wang Z, Matsuhashi R. Research on thermal comfort by analyzing LF/HF value and heat flow rate. エネルギー・資源学会論文誌 2019;40:154–9. https://doi.org/10.24778/jjser.40.5_154.
CV
Education
- 2019.04 - 2022.03: Ph.D. in Engineering (Drgree Awarded)
- University: The University of Tokyo
- Department: Electrical Engineering and Information Systems, Graduate School of Engineering
- Supervisor: Prof. Ryuji Matsuhashi
- 2017.04 - 2019.03: M.S. in Engineering (Drgree Awarded)
- University: The University of Tokyo
- Department: Electrical Engineering and Information Systems, Graduate School of Engineering
- Supervisor: Prof. Ryuji Matsuhashi
- 2015.04 - 2016.03: Government-Sponsored Exchange Student
- University: Nagoya Institute of Technology
- Department: Electrical and Electronic Engineering
- Supervisor: Prof. Makoto Iwasaki
- 2012.09 - 2016.07: B.S. in Automation (Drgree Awarded)
- University: Beijing University of Chemical Technology
- College: Information Science and Technology
- Mentors: Prof. Ran Huang and Prof. Dong Shen
Work Experience
- 2022.05 - Present: Project Researcher
- Institution: Matsuhashi Laboratory, Department of Electrical Engineering and Information Systems, Graduate School of Engineering, The University of Tokyo.
- Location: 102B2, Engineering Building 2, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8656.
- Supervisor: Prof. Ryuji Matsuhashi
- 2019.06 - 2021.09: Research Assistant (RA)
- Institution: Matsuhashi Laboratory, Department of Electrical Engineering and Information Systems, Graduate School of Engineering, The University of Tokyo.
- Location: 102B2, Engineering Building 2, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8656.
- Supervisor: Prof. Ryuji Matsuhashi
- 2018.09 - 2018.12: Internship
- Company: Silver Egg Technology Co., Ltd.
- Location: Tokyo Office, 7th Floor, Okamura Akasaka Building, 2-13-1 Nagata-cho, Chiyoda-ku, Tokyo, 100-0014.
- Tutor: Dr. Kimikazu Kato
- 2018.02 - 2018.02: Toshiba Group 2018 Winter Internship
- Company: Toshiba Corporation
- Location: Toshiba Training Center, 555 Toriyamacho, Kohoku Ward, Yokohama, Kanagawa, 222-0035.
- 2018.01 - 2018.01: MHI Winter Internship 2018
- Company: Mitsubishi Hitachi Power Systems (MHPS), Ltd.
- Location: MHPS Takasago Works, 2-1-1 Araicho Shinhama, Takasago, Hyogo, 676-8686.
Research Experience
- 2022.05 - Present: Joint Research with KYOCERA Corporation
- Leader: Prof. Ryuji Matsuhashi (The University of Tokyo)
- Partners: Takeshi Yamane, Masato Ajisaka, and Tatsuya Nakata (KYOCERA Corporation)
- Description: Day-ahead electricity price forecasting for all nine areas in the Japan Electric Power Exchange (JEPX) market using a novel deep learning framework.
- 2023.12 - Present: Joint Research with KYOCERA Corporation
- Leader: Prof. Ryuji Matsuhashi (The University of Tokyo)
- Partners: Takeshi Yamane, Masato Ajisaka, and Tatsuya Nakata (KYOCERA Corporation)
- Description: Intraday electricity price forecasting in the Japan Electric Power Exchange (JEPX) market using a novel CNN-LSTM deep learning framework.
- 2020.04 - Present: Self-Initiated Research Project
- Supervisor: Prof. Ryuji Matsuhashi (The University of Tokyo)
- Description: Engaged in research and development aimed at the practical implementation of low-energy, small-scale wearable air-conditioners.
- 2023.12 - 2024.12: Joint Research with CARBON FLY, Inc.
- Leader: Ziyang Wang (The University of Tokyo)
- Partners: Fengming Yu and Keiichi Sato (CARBON FLY, Inc.) and Prof. Masahiro Mae (The University of Tokyo)
- Description: Evaluation and implementation of a CNT-based heat sink with high thermal conductivity, low density, and water absorption properties for use in the novel “water-electricity” hybrid energy system under development for wearable air-conditioners.
- 2023.04 - 2023.07: Joint Research with KYOCERA Corporation
- Leader: Prof. Ryuji Matsuhashi (The University of Tokyo)
- Partners: Takeshi Yamane, Masato Ajisaka, and Tatsuya Nakata (KYOCERA Corporation)
- Description: Day-ahead forecasting of small-hydro power generation using precipitation forecast data and a novel CNN-LSTM deep learning framework.
- 2022.08 - 2023.12: Joint Research with Aioi Nissay Dowa Insurance Co., Ltd.
- Leader: Prof. Ryuji Matsuhashi (The University of Tokyo)
- Partners: Shoma Nishimura (Aioi Nissay Dowa Insurance Co., Ltd.) and Rahul Maroju, Prof. Masahiro Mae (The University of Tokyo)
- Description: Monthly and real-time assessment of vehicular fuel consumption and CO\textsubscript{2} emissions using machine learning and novel driving behavior data.
- 2021.10 - 2022.03: SPRING GX Program (Fostering Advanced Human Resources Leading Green Transformation (GX), JST SPRING Project)
- Stipend: 180,000 JPY/month
- Supervisor: Prof. Ryuji Matsuhashi (The University of Tokyo)
- Description: Conducted personal doctoral research focusing on physiological indices-based thermal comfort modeling and the research and development of wearable air conditioners.
- 2019.06 - 2021.09: Research Assistant (RA)
- Stipend: 80,000 JPY/month
- Supervisor: Prof. Ryuji Matsuhashi (The University of Tokyo)
- Description: Served as a Research Assistant in the Matsuhashi Laboratory at the University of Tokyo, engaging in joint research projects with enterprises.
- 2019.04 - 2022.03: Doctoral Student Special Incentives Program (SEUT-RA)
- Stipend: 50,000 JPY/month
- Supervisor: Prof. Ryuji Matsuhashi (The University of Tokyo)
- Description: Conducted personal doctoral research focusing on physiological indices-based thermal comfort modeling and the research and development of wearable air conditioners.
- 2018.09 - 2018.12: Internship in Silver Egg Technology Co., Ltd.
- Stipend: 1,500 JPY/month
- Tutor: Dr. Kimikazu Kato (Silver Egg Technology Co., Ltd.)
- Description: Conducted research and development in recommendation systems using image data of commodities.
- 2018.04 - 2020.03: Joint Research with TOKYO GAS Co., Ltd.
- Leader: Prof. Ryuji Matsuhashi (The University of Tokyo)
- Partners: Aizawa Reina and Yokoyama Chikato (TOKYO GAS Co., Ltd.)
- Description: Conducted research on real-time thermal comfort assessment by analyzing physiological indices, including heartbeat data, body surface temperature, and body surface thermal images.
Mentorships
- Research Support (2023.10 - 2024.01)
- Institution: The University of Tokyo
- Description: Provided research assistance to a Japanese bachelor’s student in the Matsuhashi Lab by developing and implementing an LSTM framework for intraday electricity market price forecasting.
- Research Support (2021.10 - 2022.03)
- Institution: The University of Tokyo
- Description: Provided research assistance to a Japanese bachelor’s student in the Matsuhashi Lab with his research on solar irradiance forecasting using temporal sky image data and MLP neural networks.
- Research Support (2021.10 - 2022.09)
- Institution: The University of Tokyo
- Description: Provided research assistance to an Indian master’s student in the Matsuhashi Lab with his research on estimating vehicular fuel consumption and CO₂ emissions using machine learning.
- Tutur (2018.04 - 2019.03)
- Institution: The University of Tokyo
- Duties included: Assisted a master’s student in the Matsuhashi Lab with his daily life and studies.
- Tutur (2018.09 – 2019.03)
- Institution: The University of Tokyo
- Duties included: Assisted an international exchange student from the Technical University of Munich (TUM) in the Matsuhashi Lab with her daily life and studies.
Skills
- Programming language: Python, R
- Natural language
- English: fully professional proficiency
- Japanese: fully professional proficiency
- Chinese: native
- Software
- Linux, Windows, AWS, TensorFlow, Keras, PyTorch, PyTorch Geometric, OpenCV, Git
- Matlab, COMSOL Multiphysics, Ansys Fluent
- LaTeX, Ipe, Word, Excel, Powerpoint
- Hardware
- Infrared camera (InfRec InfraRed Camera Thermo GEAR G100EX, FLIR ONE Pro), heartbeat sensor (uniontool myBeat WHS-1), data logger (Graphtec midi LOGGER GL840)
- 3D printer (FLASHFORGE Guider II), precision electronic balance (A&D FX-500i), mass flow meter (TSI Mass Flow Meter 5230-2), CNC machine (Genmitsu PROVerXL 4030 CNC Router)
Publications
Proposal of relative thermal sensation: Another dimension of thermal comfort and its investigation
Wang Z, Onodera H, Matsuhashi R. Proposal of relative thermal sensation: Another dimension of thermal comfort and its investigation. IEEE Access 2021;9:36266–81. https://doi.org/10.1109/ACCESS.2021.3062393.
Towards wearable thermal comfort assessment framework by analysis of heart rate variability
Wang Z, Matsuhashi R, Onodera H. Towards wearable thermal comfort assessment framework by analysis of heart rate variability. Build Environ 2022:109504. https://doi.org/10.1016/j.buildenv.2022.109504.
Intrusive and non-intrusive early warning systems for thermal discomfort by analysis of body surface temperature
Wang Z, Matsuhashi R, Onodera H. Intrusive and non-intrusive early warning systems for thermal discomfort by analysis of body surface temperature. Appl Energy 2023;329:120283. https://doi.org/10.1016/j.apenergy.2022.120283.
Estimating vehicular fuel consumption and CO₂ emissions by machine learning using only speed and acceleration
Maroju R, Nishimura S, Wang Z, Matsuhashi R. Estimating Vehicular Fuel Consumption and CO₂ Emissions by Machine Learning Using Only Speed and Acceleration. Journal of Japan Society 2023. https://doi.org/10.24778/jjser.44.1_30
Vehicular fuel consumption and CO₂ emission estimation model integrating novel driving behavior data using machine learning
Wang Z, Mae M, Nishimura S, Matsuhashi R. Vehicular fuel consumption and CO₂ emission estimation model integrating novel driving behavior data using machine learning. Energies 2024, 17, 1410. https://doi.org/10.3390/en17061410
Enhanced Day-Ahead Electricity Price Forecasting Using a Convolutional Neural Network–Long Short-Term Memory Ensemble Learning Approach with Multimodal Data Integration
Wang Z, Mae M, Yamane T, Ajisaka M, Nakata T, Matsuhashi R, Enhanced Day-Ahead Electricity Price Forecasting Using a Convolutional Neural Network–Long Short-Term Memory Ensemble Learning Approach with Multimodal Data Integration. Energies 2024, 17, 2687. https://doi.org/10.3390/en17112687
Novel Custom Loss Functions and Metrics for Reinforced Forecasting of High and Low Day-ahead Electricity Prices Using CNN-LSTM and Ensemble Learning
Wang Z, Mae M, Yamane T, Ajisaka M, Nakata T, Matsuhashi R, Novel Custom Loss Functions and Metrics for Reinforced Forecasting of High and Low Day-ahead Electricity Prices Using CNN-LSTM and Ensemble Learning. Energies 2024, 17, 2687. https://doi.org/10.3390/en17112687
Patents
Talks
Research on thermal comfort by analyzing LF/HF value and heat flow rate considering energy conservation
Conference proceedings talk at 35th Conference on Japan Society of Energy and Resources (JSER), Tokyo, Japan
Research on thermal comfort evaluation by analyzing LF/HF value and heat flow rate considering energy conservation
Talk at IEEE 2019 Power and Energy Conference at Illinois (IEEE PECI 2019) (Poster), Urbana IL, USA
Pilot study on early warning systems for thermal discomfort using body surface temperature for energy conservation in the building sector
Conference proceedings talk at International Conference on Applied Energy 2021 (ICAE2021), Bangkok, Thailand
Research on Low-energy Wearable Coolers by Capillary Action and Evaporation of Water
Talk at 41th Conference on Japan Society of Energy and Resources (JSER), Tokyo, Japan
Day-ahead electricity spot price prediction by knowledge-aware LSTM
Talk at 8th Applied Energy Symposium: Low carbon cities and urban energy systems (CUE2022), Matsue, Japan
Electricity spot price forecasting using a CNN-LSTM ensemble learning method
Talk at 令和6年電気学会全国大会 (IEEJ2024), Tokushima, Japan
Novel multimodal data for enhanced electricity spot price forecasting using a CNN-LSTM ensemble learning model for the Japan Electric Power eXchange (JEPX) spot market
Conference proceedings talk at 20th International Conference on the European Energy Market (EEM24), Istanbul, Turkey
CNN-LSTMとアンサンブル学習を用いた電力スポット市場価格の予測及び予測信頼区間推定に関する研究
Talk at 43th Conference on Japan Society of Energy and Resources (JSER), Tokyo, Japan
Pilot Study on a Low-Energy Wearable Air-Conditioner Based on A Novel Water-Electricity Hybrid Energy System
Conference proceedings talk at 16th International Conference on Applied Energy (ICAE2024), Niigata, Japan
生理学指標を考慮したリアルタイム高精度温冷感評価と低エネルギーウェアラブルエアコンの開発
Talk at 東京大学エネルギー総合学連携研究機構エネルギートランスフォーメーション(EX)研究会 (第3回EX研究会), Tokyo, Japan
Awards
- 2021.10 - 2022.03: SPRING GX Scholarship
- Institution: Department of Electrical and Electronic Engineering, Graduate School of Engineering, The University of Tokyo
- Awarded for: Fostering Advanced Human Resources to Lead Green Transformation (GX)” project, a program for “Support for Pioneering Research Initiated by Next Generation (SPRING)” of Japan Science and Technology Agency (JST).
- 2019.04 - 2021.09: Doctoral Student Special Incentives Program (SEUT-RA) Scholarship
- Institution: Department of Electrical and Electronic Engineering, Graduate School of Engineering, The University of Tokyo
- Awarded for: Excellence in academic research and potential, with an expectation to pursue further research opportunities.
- 2014.12: Zhongtai Chemical Progress Scholarship (Xinjiang Zhongtai Chemical Co., Ltd)
- Institution: Beijing University of Chemical Technology
- Awarded for: Progress in personal schoolwork
- 2014.12: Third-class People’s Scholarship
- Institution: Beijing University of Chemical Technology
- Awarded for: Progress in personal schoolwork
Professional Memberships
- Institute of Electrical and Electronics Engineers (IEEE): Member, 2023.09 - Present
- Japan Society of Energy and Resources: Regular Member, 2022.05 - Present
- Japan Society of Energy and Resources: Student Member, 2018.10 - 2022.03
Licenses & Certifications
- JLPT-N1 (Japanese Language Proficiency Test)
- Japanese 1st grade driver’s license (AT)
- IUMA Martial Arts Seminar Completion Certificate (This is to certify that Ziyang Wang has completed a martial arts seminar in accordance with the highest standards as established by the INOSANTO METHODS UNIFIED MARTIAL ARTS ASSOCIATION)
Organizations
- Member of the IUMA日本振藩国術館 (Club of Bruce Lee’s Jeet Kune Do), 2024.07 - Present Home page
- Co-founder of UTokyo Chinese students badminton club, 2022.07 - Present
- Staff of the Chinese Students and Scholars Association at UTokyo, 2019.04 - 2020.03
Personal Interests
- Body training
- 32 burpees (with push-ups) in 1 min Youtube video
- 100 burpees (with push-ups) in 6 min
- Front somersault Youtube video
- Jeet Kune Do (截拳道「ジークンドー」)
- Mountaineering
- Acoustic guitar