高原 (YUAN GAO) - マイポータル - researchmap

基本情報

所属: 九州大学准教授

学位: 博士(2023年9月東京大学)

研究者番号: 50996478
ORCID iD: https://orcid.org/0000-0002-3526-5856
J-GLOBAL ID: 202401006973904284
researchmap会員ID: R000076018

研究分野

1

社会基盤（土木・建築・防災） / 建築環境、建築設備 /

経歴

2

2026年1月 - 現在

九州大学, 高等研究院, 准教授
2024年1月 - 2025年12月

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

学歴

1

2020年10月 - 2023年9月

東京大学

論文

39

A clustering enhanced Wasserstein generative adversarial network approach for addressing uncertainty and limited data in photovoltaic output scenarios

Qingrong Liu, Pengfei Zhao, Fanyue Qian, Yuting Yao, Hua Meng, Yuan Gao, Tingting Xu, Yingjun Ruan

Engineering Applications of Artificial Intelligence 2026年2月
Optimizing renewable energy systems with hybrid action space reinforcement learning: A case study on achieving net zero energy in Japan

Yuan Gao, Zehuan Hu, Yuki Matsunami, Ming Qu, Wei-An Chen, Mingzhe Liu

Renewable Energy 2026年1月
Robust photovoltaic forecasting under severe data missingness via multi-domain collaboration and covariate interaction

Ke Yan, Jian Liu, Jiazhen Zhang, Fan Yang, Yuan Gao, Yang Du

Applied Energy 2025年12月
Comparative Analysis of Battery and Thermal Energy Storage for Residential Photovoltaic Heat Pump Systems in Building Electrification

Mingzhe Liu, Wei-An Chen, Yuan Gao, Zehuan Hu

Sustainability 2025年10月
A novel attention-enhanced LLM approach for accurate power demand and generation forecasting

Zehuan Hu, Yuan Gao, Luning Sun, Masayuki Mae

Renewable Energy 2025年10月
A novel reinforcement learning method based on generative adversarial network for air conditioning and energy system control in residential buildings

Zehuan Hu, Yuan Gao, Luning Sun, Masayuki Mae, Taiji Imaizumi

Energy and Buildings 2025年6月
Quantitative analysis of energy justice in demand response: Insights from real residential data in Texas, USA

Yuan Gao, Mingzhe Liu, Zehuan Hu, Shun Yamate, Junichiro Otomo, Wei-An Chen, Zheng O’Neill

Renewable Energy 2025年4月
Unlocking predictive insights and interpretability in deep reinforcement learning for Building-Integrated Photovoltaic and Battery (BIPVB) systems

Yuan Gao, Zehuan Hu, Shun Yamate, Junichiro Otomo, Wei-An Chen, Mingzhe Liu, Tingting Xu, Yingjun Ruan, Juan Shang

Applied Energy 2025年4月
A revolutionary neural network architecture with interpretability and flexibility based on Kolmogorov–Arnold for solar radiation and temperature forecasting

Yuan Gao, Zehuan Hu, Wei-An Chen, Mingzhe Liu, Yingjun Ruan

Applied Energy 2025年1月
Expert-guided imitation learning for energy management: Evaluating GAIL’s performance in building control applications

Mingzhe Liu, Mingyue Guo, Yangyang Fu, Zheng O’Neill, Yuan Gao

Applied Energy 2024年10月
Improved robust model predictive control for residential building air conditioning and photovoltaic power generation with battery energy storage system under weather forecast uncertainty

Zehuan Hu, Yuan Gao, Luning Sun, Masayuki Mae, Taiji Imaizumi

Applied Energy 2024年10月
Solutions to the insufficiency of label data in renewable energy forecasting: A comparative and integrative analysis of domain adaptation and fine-tuning

Yuan Gao, Zehuan Hu, Wei-An Chen, Mingzhe Liu

Energy 2024年9月
Self-learning dynamic graph neural network with self-attention based on historical data and future data for multi-task multivariate residential air conditioning forecasting

Zehuan Hu, Yuan Gao, Luning Sun, Masayuki Mae, Taiji Imaizumi

Applied Energy 2024年6月
Model-based optimal control strategy for multizone VAV air-conditioning systems for neutralizing room pressure and minimizing fan energy consumption

Shanrui Shi, Shohei Miyata, Yasunori Akashi, Masashi Momota, Takao Sawachi, Yuan Gao

Building and Environment 2024年5月
Improved multistep ahead photovoltaic power prediction model based on LSTM and self-attention with weather forecast data

Zehuan Hu, Yuan Gao, Siyu Ji, Masayuki Mae, Taiji Imaizumi

Applied Energy 2024年4月
Adversarial discriminative domain adaptation for solar radiation prediction: A cross-regional study for zero-label transfer learning in Japan

Yuan Gao, Zehuan Hu, Shanrui Shi, Wei-An Chen, Mingzhe Liu

Applied Energy 2024年4月
Successful application of predictive information in deep reinforcement learning control: A case study based on an office building HVAC system

Yuan Gao, Shanrui Shi, Shohei Miyata, Yasunori Akashi

Energy 2024年3月
Interpretable deep learning for hourly solar radiation prediction: A real measured data case study in Tokyo

Yuan Gao, Shohei Miyata, Yasunori Akashi

Journal of Building Engineering 2023年11月
Automated fault detection and diagnosis of chiller water plants based on convolutional neural network and knowledge distillation

Yuan Gao, Shohei Miyata, Yasunori Akashi

Building and Environment 2023年11月
Spatio-temporal interpretable neural network for solar irradiation prediction using transformer

Yuan Gao, Shohei Miyata, Yuki Matsunami, Yasunori Akashi

Energy and Buildings 2023年10月

もっとみる

MISC

1

Development of a grid independent energy system using energy supply and demand prediction (Part 2) Solar radiation prediction based on Graph neural network and long short-term memory network

Yuan GAO, Yuki MATSUNAMI, Shohei MIYATA, Yasunori AKASHI, Katsuhiko SHIBATA, Kenichiro KATAYAMA, Yoshihiro HIRAHARA

Air-conditioning and Sanitary Engineers of Japan 9 5-8 2021年9月

共同研究・競争的資金等の研究課題

2

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

日本学術振興会科学研究費助成事業研究活動スタート支援 2024年7月 - 2026年3月

高原
モデル予測制御と強化学習を応用したビルエネルギーシステムの運用最適化手法の開発

日本学術振興会科学研究費助成事業特別研究員奨励費 2023年4月 - 2025年3月

GAO YUAN