GAO YUAN 高原

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高原コウゲン

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Researcher Number	50996478
Other IDs
Affiliation (Current)	2026: 九州大学, 高等研究院(IQ系), 准教授 2026: 九州大学, カーボンニュートラル・エネルギー国際研究所, 助教
Affiliation (based on the past Project Information) *help	2024: 九州大学, カーボンニュートラル・エネルギー国際研究所, 助教
Review Section/Research Field	Principal Investigator 0304:Architecture, building engineering, and related fields
Keywords	Principal Investigator Renewable energy / Time series prediction / Transfer learning / Renewable energy / Reinforcement learning / Net zero energy / Energy justice / Deep learning

Research Projects
(1 results)
Research Products
(8 results)

Deep transfer learning framework based on time series prediction of building renewable energy systemsPrincipal Investigator
- Principal Investigator
  
  高原
- Project Period (FY)
  2024 – 2025
- Research Category
  
  Grant-in-Aid for Research Activity Start-up
- Review Section
  
  0304:Architecture, building engineering, and related fields
- Research Institution
  Kyushu University

All 2025 2024

All Journal Article

[Journal Article] Unlocking predictive insights and interpretability in deep reinforcement learning for Building-Integrated Photovoltaic and Battery (BIPVB) systems2025
- Author(s)
  Gao Yuan、Hu Zehuan、Yamate Shun、Otomo Junichiro、Chen Wei-An、Liu Mingzhe、Xu Tingting、Ruan Yingjun、Shang Juan
- Journal Title
  
  Applied Energy
  
  Volume: 384 Pages: 125387-125387
- DOI
  10.1016/j.apenergy.2025.125387
- Peer Reviewed / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-24K22997
[Journal Article] A novel reinforcement learning method based on generative adversarial network for air conditioning and energy system control in residential buildings2025
- Author(s)
  Hu Zehuan、Gao Yuan、Sun Luning、Mae Masayuki、Imaizumi Taiji
- Journal Title
  
  Energy and Buildings
  
  Volume: 336 Pages: 115564-115564
- DOI
  10.1016/j.enbuild.2025.115564
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-24K22997, KAKENHI-PROJECT-23KJ0766
[Journal Article] Accelerating Reinforcement Learning controller training for building energy management: A hybrid co-simulation approach2025
- Author(s)
  Zhou Qi、Liu Mingzhe、Wang Zhe、Fu Yangyang、Gao Yuan
- Journal Title
  
  Science and Technology for the Built Environment
  
  Volume: 1 Issue: 5 Pages: 1-18
- DOI
  10.1080/23744731.2024.2444818
- Peer Reviewed / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-24K22997
[Journal Article] A revolutionary neural network architecture with interpretability and flexibility based on Kolmogorov?Arnold for solar radiation and temperature forecasting2025
- Author(s)
  Gao Yuan、Hu Zehuan、Chen Wei-An、Liu Mingzhe、Ruan Yingjun
- Journal Title
  
  Applied Energy
  
  Volume: 378 Pages: 124844-124844
- DOI
  10.1016/j.apenergy.2024.124844
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-23KJ0513, KAKENHI-PROJECT-24K22997
[Journal Article] Quantitative analysis of energy justice in demand response: Insights from real residential data in Texas, USA2025
- Author(s)
  Gao Yuan、Liu Mingzhe、Hu Zehuan、Yamate Shun、Otomo Junichiro、Chen Wei-An、O’Neill Zheng
- Journal Title
  
  Renewable Energy
  
  Volume: 242 Pages: 122477-122477
- DOI
  10.1016/j.renene.2025.122477
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-24K22997
[Journal Article] Solutions to the insufficiency of label data in renewable energy forecasting: A comparative and integrative analysis of domain adaptation and fine-tuning2024
- Author(s)
  Gao Yuan、Hu Zehuan、Chen Wei-An、Liu Mingzhe
- Journal Title
  
  Energy
  
  Volume: 302 Pages: 131863-131863
- DOI
  10.1016/j.energy.2024.131863
- Peer Reviewed / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-23KJ0513, KAKENHI-PROJECT-24K22997
[Journal Article] Expert-guided imitation learning for energy management: Evaluating GAIL’s performance in building control applications2024
- Author(s)
  Liu Mingzhe、Guo Mingyue、Fu Yangyang、O’Neill Zheng、Gao Yuan
- Journal Title
  
  Applied Energy
  
  Volume: 372 Pages: 123753-123753
- DOI
  10.1016/j.apenergy.2024.123753
- Peer Reviewed / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-24K22997
[Journal Article] Improved robust model predictive control for residential building air conditioning and photovoltaic power generation with battery energy storage system under weather forecast uncertainty2024
- Author(s)
  Hu Zehuan、Gao Yuan、Sun Luning、Mae Masayuki、Imaizumi Taiji
- Journal Title
  
  Applied Energy
  
  Volume: 371 Pages: 123652-123652
- DOI
  10.1016/j.apenergy.2024.123652
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-23KJ0513, KAKENHI-PROJECT-24K22997, KAKENHI-PROJECT-23KJ0766

GAO YUAN 高 原

高 原 コウ ゲン

Research Projects

Research Products

Deep transfer learning framework based on time series prediction of building renewable energy systemsPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

[Journal Article] Unlocking predictive insights and interpretability in deep reinforcement learning for Building-Integrated Photovoltaic and Battery (BIPVB) systems2025

Author(s)

Journal Title

DOI

Data Source

[Journal Article] A novel reinforcement learning method based on generative adversarial network for air conditioning and energy system control in residential buildings2025

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Accelerating Reinforcement Learning controller training for building energy management: A hybrid co-simulation approach2025

Author(s)

Journal Title

DOI

Data Source

[Journal Article] A revolutionary neural network architecture with interpretability and flexibility based on Kolmogorov?Arnold for solar radiation and temperature forecasting2025

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Quantitative analysis of energy justice in demand response: Insights from real residential data in Texas, USA2025

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Solutions to the insufficiency of label data in renewable energy forecasting: A comparative and integrative analysis of domain adaptation and fine-tuning2024

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Expert-guided imitation learning for energy management: Evaluating GAIL’s performance in building control applications2024

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Improved robust model predictive control for residential building air conditioning and photovoltaic power generation with battery energy storage system under weather forecast uncertainty2024

Author(s)

Journal Title

DOI

Data Source

GAO YUAN 高原

高原コウゲン