Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Bian, Yuexin"'
Effective control of real-world systems necessitates the development of controllers that are not only performant but also interpretable. To this end, the field has seen a surge in model-based control policies, which first leverage historical data to
Externí odkaz:
http://arxiv.org/abs/2411.07484
Over the last decade, data-driven methods have surged in popularity, emerging as valuable tools for control theory. As such, neural network approximations of control feedback laws, system dynamics, and even Lyapunov functions have attracted growing a
Externí odkaz:
http://arxiv.org/abs/2405.11401
Large penetration of renewable energy sources (RESs) brings huge uncertainty into the electricity markets. While existing deterministic market clearing fails to accommodate the uncertainty, the recently proposed stochastic market clearing struggles t
Externí odkaz:
http://arxiv.org/abs/2405.09004
In this paper, we introduce a novel framework for building learning and control, focusing on ventilation and thermal management to enhance energy efficiency. We validate the performance of the proposed framework in system model learning via two case
Externí odkaz:
http://arxiv.org/abs/2403.08996
Renewable energy forecasting is the workhorse for efficient energy dispatch. However, forecasts with small mean squared errors (MSE) may not necessarily lead to low operation costs. Here, we propose a forecasting approach specifically tailored for op
Externí odkaz:
http://arxiv.org/abs/2310.00571
Energy forecasting is an essential task in power system operations. Operators usually issue forecasts and leverage them to schedule energy dispatch ahead of time. However, forecast models are typically developed in a way that overlooks the operationa
Externí odkaz:
http://arxiv.org/abs/2309.00803
Energy storage are strategic participants in electricity markets to arbitrage price differences. Future power system operators must understand and predict strategic storage arbitrage behaviors for market power monitoring and capacity adequacy plannin
Externí odkaz:
http://arxiv.org/abs/2306.11872
This paper examines the problem of optimizing the charging pattern of electric vehicles (EV) by taking real-time electricity grid carbon intensity into consideration. The objective of the proposed charging scheme is to minimize the carbon emissions c
Externí odkaz:
http://arxiv.org/abs/2209.12373
Publikováno v:
IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2022
A large number of people suffer from life-threatening cardiac abnormalities, and electrocardiogram (ECG) analysis is beneficial to determining whether an individual is at risk of such abnormalities. Automatic ECG classification methods, especially th
Externí odkaz:
http://arxiv.org/abs/2206.10592
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