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Zehuan Hu

University of Tokyo

Research Interests

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Articles (13)

Collaborators (6)

Mingzhe Liu

Instructional Assistant Professor

Texas A&M University

UNITED STATES

Wei-An Chen

University of Texas System

UNITED STATES

LUNING SUN

The Univeristy of Tokyo

Shanrui Shi

The Univeristy of Tokyo

Zheng O'Neill

Texas A&M University

UNITED STATES

Yuan Gao

Associate Professor

Kyushu University

ApplyKite TwinLearns as you apply

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Review drafts before you send them.

Zehuan Hu

Research Interests

Make your next move.

Explore related searches

Articles (13)

Collaborators (6)

Mingzhe Liu

Wei-An Chen

LUNING SUN

Shanrui Shi

Zheng O'Neill

Yuan Gao

Make your next move.

Zehuan Hu

Research Interests

Make your next move.

Explore related searches

Articles (13)

Optimizing renewable energy systems with hybrid action space reinforcement learning: A case study on achieving net zero energy in Japan

ImputeLLM: A prompt-free large language model framework for robust time-series imputation in HVAC systems

Bayesian robust reinforcement learning for coordinated air conditioning and energy storage system control in high-performance residential buildings under forecast uncertainty

A predictive COP model for air source heat pumps under extreme heat conditions using no experimental data

Deep transfer learning strategy based on TimesBlock-CDAN for predicting thermal environment and air conditioner energy consumption in residential buildings

A novel reinforcement learning method based on generative adversarial network for air conditioning and energy system control in residential buildings

A revolutionary neural network architecture with interpretability and flexibility based on Kolmogorov–Arnold for solar radiation and temperature forecasting

Quantitative analysis of energy justice in demand response: Insights from real residential data in Texas, USA

Improved robust model predictive control for residential building air conditioning and photovoltaic power generation with battery energy storage system under weather forecast uncertainty

Solutions to the insufficiency of label data in renewable energy forecasting: A comparative and integrative analysis of domain adaptation and fine-tuning

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

Adversarial discriminative domain adaptation for solar radiation prediction: A cross-regional study for zero-label transfer learning in Japan

Improved multistep ahead photovoltaic power prediction model based on LSTM and self-attention with weather forecast data

Collaborators (6)

Mingzhe Liu

Wei-An Chen

LUNING SUN

Shanrui Shi

Zheng O'Neill

Yuan Gao

Make your next move.