no code implementations • 13 Mar 2024 • Yuexin Bian, Xiaohan Fu, Rajesh K. Gupta, Yuanyuan Shi
In this paper, we introduce a novel framework for building learning and control, focusing on ventilation and thermal management to enhance energy efficiency.
no code implementations • 1 Oct 2023 • Yufan Zhang, Honglin Wen, Yuexin Bian, Yuanyuan Shi
By integrating it into the upper-level objective for minimizing expected operation cost, we convert the bilevel problem to a single-level one and derive the loss function for training the model.
1 code implementation • 2 Sep 2023 • Yufan Zhang, Mengshuo Jia, Honglin Wen, Yuexin Bian, Yuanyuan Shi
To bridge the gap, we design a value-oriented point forecasting approach for sequential energy dispatch problems with renewable energy sources.
1 code implementation • 20 Jun 2023 • Yuexin Bian, Ningkun Zheng, Yang Zheng, Bolun Xu, Yuanyuan Shi
Energy storage are strategic participants in electricity markets to arbitrage price differences.
1 code implementation • 26 Sep 2022 • Kai-Wen Cheng, Yuexin Bian, Yuanyuan Shi, Yize Chen
This paper examines the problem of optimizing the charging pattern of electric vehicles (EV) by taking real-time electricity grid carbon intensity into consideration.
1 code implementation • 16 Jun 2022 • Yuexin Bian, Jintai Chen, Xiaojun Chen, Xiaoxian Yang, Danny Z. Chen, Jian Wu
Automatic ECG classification methods, especially the deep learning based ones, have been proposed to detect cardiac abnormalities using ECG records, showing good potential to improve clinical diagnosis and help early prevention of cardiovascular diseases.