Zobrazeno 1 - 10
of 2 690
pro vyhledávání: '"Keisler A"'
Autor:
Keisler, Julie, Bregere, Margaux
Publikováno v:
International Ruhr Energy Conference, Aug 2024, Essen, University Duisburg-Essen, Germany
Electricity is difficult to store, except at prohibitive cost, and therefore the balance between generation and load must be maintained at all times. Electricity is traditionally managed by anticipating demand and intermittent production (wind, solar
Externí odkaz:
http://arxiv.org/abs/2409.16326
Accurate forecasting of electricity consumption is essential to ensure the performance and stability of the grid, especially as the use of renewable energy increases. Forecasting electricity is challenging because it depends on many external factors,
Externí odkaz:
http://arxiv.org/abs/2405.08842
Autor:
Keisler, Julie, Naour, Etienne Le
Achieving net zero carbon emissions by 2050 requires the integration of increasing amounts of wind power into power grids. This energy source poses a challenge to system operators due to its variability and uncertainty. Therefore, accurate forecastin
Externí odkaz:
http://arxiv.org/abs/2402.14385
Autor:
Brégère, Margaux, Keisler, Julie
This work formulates model selection as an infinite-armed bandit problem, namely, a problem in which a decision maker iteratively selects one of an infinite number of fixed choices (i.e., arms) when the properties of each choice are only partially kn
Externí odkaz:
http://arxiv.org/abs/2402.05144
Autor:
U.S. Air Force, Naval Mobile Construction Battalion, Hong, James, Auzenne, Porsha, Cordeiro, Timothy, Lebens, Julia, Mattorano, Gino, Sanabia, Corinna, Keisler, Brooke, Tyler, Dominic
Publikováno v:
The Military Engineer, 2024 May 01. 116(751), 24-31.
Externí odkaz:
https://www.jstor.org/stable/48774122
In this paper, we propose an algorithmic framework to automatically generate efficient deep neural networks and optimize their associated hyperparameters. The framework is based on evolving directed acyclic graphs (DAGs), defining a more flexible sea
Externí odkaz:
http://arxiv.org/abs/2303.12797
Autor:
Keisler, H. Jerome
In 1967 the author introduced a pre-ordering of all first order complete theories where T is lower than U if it is easier for an ultrapower of a model of T than an ultrapower of a model of U to be saturated. In a long series of recent papers, Malliar
Externí odkaz:
http://arxiv.org/abs/2206.06969
Autor:
Keisler, Ryan
We present a data-driven approach for forecasting global weather using graph neural networks. The system learns to step forward the current 3D atmospheric state by six hours, and multiple steps are chained together to produce skillful forecasts going
Externí odkaz:
http://arxiv.org/abs/2202.07575
To benefit from AI advances, users and operators of AI systems must have reason to trust it. Trust arises from multiple interactions, where predictable and desirable behavior is reinforced over time. Providing the system's users with some understandi
Externí odkaz:
http://arxiv.org/abs/2201.11117
Autor:
Strelzoff, Andrew, Trump, Benjamin D., Cummings, Christopher L., Smith, Madison, Galaitsi, Stephanie E., Stoddard, Kelsey, Keisler, Jeff, Vardi, Moshe, Bastian, Nathaniel, Kott, Alexander, Linkov, Igor
Publikováno v:
Communications of the ACM; May2024, Vol. 67 Issue 5, p48-51, 4p