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of 483
pro vyhledávání: '"Vu Long"'
Autor:
Chen, Weiqin, Onyejizu, James, Vu, Long, Hoang, Lan, Subramanian, Dharmashankar, Kar, Koushik, Mishra, Sandipan, Paternain, Santiago
Primal-dual methods have a natural application in Safe Reinforcement Learning (SRL), posed as a constrained policy optimization problem. In practice however, applying primal-dual methods to SRL is challenging, due to the inter-dependency of the learn
Externí odkaz:
http://arxiv.org/abs/2402.00355
Publikováno v:
Energy Conversion and Economics, Volume 5, Issue 1, Feb 2024, pages 40-53
Power system dynamics are generally modeled by high dimensional nonlinear differential-algebraic equations (DAEs) given a large number of components forming the network. These DAEs' complexity can grow exponentially due to the increasing penetration
Externí odkaz:
http://arxiv.org/abs/2306.01961
Autor:
Weidele, Daniel Karl I., Afzal, Shazia, Valente, Abel N., Makuch, Cole, Cornec, Owen, Vu, Long, Subramanian, Dharmashankar, Geyer, Werner, Nair, Rahul, Vejsbjerg, Inge, Marinescu, Radu, Palmes, Paulito, Daly, Elizabeth M., Franke, Loraine, Haehn, Daniel
We present AutoDOViz, an interactive user interface for automated decision optimization (AutoDO) using reinforcement learning (RL). Decision optimization (DO) has classically being practiced by dedicated DO researchers where experts need to spend lon
Externí odkaz:
http://arxiv.org/abs/2302.09688
Autor:
Nguyen Tung Linh, Pham Vu Long
Publikováno v:
Engineering, Technology & Applied Science Research, Vol 14, Iss 4 (2024)
This study proposes an improved method of the Artificial Bee Colony (ABC) algorithm for the distribution network in scenarios where distributed generation sources and Soft Open Points (SOPs) are connected to optimize power control. Improvement is ach
Externí odkaz:
https://doaj.org/article/ae51512f2d8a4a3a9448caca04f02095
Autor:
Sachdev, Rishi, Shearn-Nance, Galen, Vu, Long, Bensken, Wyatt P., Douglas, Sara L., Koroukian, Siran M., Rose, Johnie
Publikováno v:
In Journal of Geriatric Oncology March 2024 15(2)
Autor:
Shah, Syed Yousaf, Patel, Dhaval, Vu, Long, Dang, Xuan-Hong, Chen, Bei, Kirchner, Peter, Samulowitz, Horst, Wood, David, Bramble, Gregory, Gifford, Wesley M., Ganapavarapu, Giridhar, Vaculin, Roman, Zerfos, Petros
A large number of time series forecasting models including traditional statistical models, machine learning models and more recently deep learning have been proposed in the literature. However, choosing the right model along with good parameter value
Externí odkaz:
http://arxiv.org/abs/2102.12347
Autor:
Nguyen Tung Linh, Pham Vu Long
Publikováno v:
Engineering, Technology & Applied Science Research, Vol 13, Iss 6 (2023)
The problem of distribution reconfiguration is an important issue in the optimal operation of distribution networks. Nowadays, with the diverse development of renewable energy sources, the uncertainty of the load becomes more complex, and the need fo
Externí odkaz:
https://doaj.org/article/d9a510ea36774d3699dea3ce5d68e9e3
Autor:
Arsenault, Richard, Huard, David, Martel, Jean-Luc, Troin, Magali, Mai, Juliane, Brissette, François, Jauvin, Christian, Vu, Long, Craig, James R., Smith, Trevor J., Logan, Travis, Tolson, Bryan A., Han, Ming, Gravel, Francis, Langlois, Sébastien
Publikováno v:
In Environmental Modelling and Software October 2023 168
Akademický článek
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Autor:
Diamond, Akiva, Bensken, Wyatt P., Vu, Long, Dong, Weichuan, Koroukian, Siran M., Caimi, Paolo
Publikováno v:
In JACC: CardioOncology April 2023 5(2):233-243