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Yuan Gao

University of Tokyo

7-3-1 Hongo

Bunkyo-ku

Tokyo, 113-0033

Japan

  • University of Tokyo

SCHOLARLY PAPERS

3

DOWNLOADS

152

TOTAL CITATIONS

0

Scholarly Papers (3)

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1.

An Innovative Deep Reinforcement Learning Framework for Integrated Energy System Scheduling Optimization Considering Year-Around Load Variance

Downloads 79 (837,727)

An Innovative Deep Reinforcement Learning Framework for Integrated Energy System Scheduling Optimization Considering Year-Around Load Variance

Number of pages: 34 Posted: 01 Apr 2025
Qingrong Liu, Hao Shen, Fanyue Qian, Yuting Yao, Hua Meng, Yuan Gao, Tingting Xu and Yingjun Ruan
Shanghai University of Electric Power, Shanghai University of Electric Power, Tongji University, Tongji University, Tongji University, University of Tokyo, Tongji University and Tongji University
Downloads 45 (1,196,631)

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Integrated energy system, deep reinforcement learning, optimizing dispatch, load clustering, expert knowledge

An Innovative Deep Reinforcement Learning Framework for Integrated Energy System Scheduling Optimization Considering Year-Around Load Variance

Number of pages: 34 Posted: 05 Jul 2024
Qingrong Liu, Hao Shen, Fanyue Qian, Yuting Yao, Hua Meng, Yuan Gao, Tingting Xu and Yingjun Ruan
Shanghai University of Electric Power, Shanghai University of Electric Power, Tongji University, Tongji University, Tongji University, University of Tokyo, Tongji University and Tongji University
Downloads 34 (1,296,409)

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Integrated energy system, deep reinforcement learning, optimizing dispatch, load clustering, expert knowledge

2.

Interpretable Convolutional Neural Network for Hourly Solar Radiation Prediction: A Case Study in Tokyo

Number of pages: 34 Posted: 08 May 2023
Yuan Gao, Shohei Miyata and Yasunori Akashi
University of Tokyo, University of Tokyo and University of Tokyo
Downloads 38 (1,222,651)

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Solar irradiation prediction, Interpretable deep learning, Convolutional neural network, Time series prediction

3.

A Clustering Enhanced Generative Adversarial Network Approach for Addressing Limited Data and Uncertainty in Photovoltaic Output Scenarios

Number of pages: 30 Posted: 20 Jan 2025
Qingrong Liu, Pengfei Zhao, Fanyue Qian, Yuting Yao, Hua Meng, Yuan Gao, Tingting Xu and Yingjun Ruan
Shanghai University of Electric Power, Shanghai University of Electric Power, Tongji University, Tongji University, Tongji University, University of Tokyo, Tongji University and Tongji University
Downloads 35 (1,290,922)

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Photovoltaic power, scenario generation, Generative Adversarial Network, Limited data, dataset clustering