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
- B.S. in Automation, Beijing University of Chemical Technology, 2012.09 - 2016.07
- Government-sponsored exchange student in Department of Electrical and Electronic Engineering, Nagoya Institute of Technology, 2015.04 - 2016.03
- M.S. in Electrical Engineering and Information Systems, The University of Tokyo, 2017.04 - 2019.03
- Ph.D. in Electrical Engineering and Information Systems, The University of Tokyo, 2019.04 - 2022.03
Work Experience
- 2022.05 - Present: Project Researcher
- Department of Electrical Engineering and Information Systems, Graduate School of Engineering, The University of Tokyo
- Duties included: Joint research with enterprises
- Supervisor: Prof. Ryuji Matsuhashi
- 2019.06 - 2021.09: Research Assistant (RA)
- Graduate School of Engineering, The University of Tokyo
- Duties included: Joint research with enterprises
- Supervisor: Prof. Ryuji Matsuhashi
- 2018.09 - 2018.12: Internship
- Silver Egg Technology
- Duties included: Research on development task related to recommendation systems using image data of commodities.
- Tutor: Dr. Kimikazu Kato
Research Experience
- 2023.12 - Present: Joint research with CARBON FLY Co., Ltd
- Partner: CARBON FLY Co., Ltd
- Research project: Carbon nanotubes (CNTs)-assisted high thermal conductive heat sink development
- 2023.04 - 2023.08: Joint research with KYOCERA Corporation
- Partner: KYOCERA Corporation
- Research project: Day-ahead small hydro power generation forecasting by analysis of precipitation data
- 2022.08 - 2023.12: Joint research with Aioi Nissay Dowa Insurance Co., Ltd
- Partner: Aioi Nissay Dowa Insurance Co., Ltd
- Research project: Novel vehicular CO₂ emission estimation model integrating driving behavior using machine learning
- 2022.05 - Present: Joint research with KYOCERA Corporation
- Partner: KYOCERA Corporation
- Research project: Day-ahead electricity price forecasting/intraday market electricity price forecasting using deep learning
- 2018.09 - 2020.03: Joint research with TOKYO GAS Co., Ltd
- Partner: TOKYO GAS Co., Ltd
- Research project: Research on real-time thermal comfort assessment by analysis of physiological indices
Skills
- Programming language: Python, R
- Natural language
- English: fully professional proficiency
- Japanese: fully professional proficiency
- Chinese: native
- Software
- Linux, Windows, Git, TensorFlow, Keras, PyTorch, OpenCV
- COMSOL Multiphysics, Ansys Fluent, Matlab
- LaTeX, Word, Excel, Powerpoint
- Hardware
- 3D Printer
- CNC Machine
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
Awards
- SPRING GX Scholarship: “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), 2021.10 – 2022.03
- Doctoral Student Special Incentives Program (SEUT-RA), 2019.04 - 2022.03
- Graduate School of Engineering, The University of Tokyo
- Awarded for: Excellence in academic research and potential, with an expectation to pursue further research opportunities.
- Supervisor: Prof. Ryuji Matsuhashi
- Zhongtai Chemical Progress Scholarship (Xinjiang Zhongtai Chemical Co., Ltd), 2014.12
- Third-class People’s Scholarship (Beijing University of Chemical Technology), 2014.12
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)
- 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)
- Japanese driver’s license
Mentorships
- Totur (The University of Tokyo), 2018.04 - 2019.03
- Duties included: Assisting an international Chinese student with his daily life and studies.
- Tutor (The University of Tokyo), 2018.09 - 2019.03
- Duties included: Assisting an international exchange student from Technical University of Munich (TUM) with her daily life and studies.
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