Integrating entropy and copula theories for hydrologic modeling and analysis
Entropy is a measure of uncertainty and has been commonly used for various applications,
including probability inferences in hydrology. Copula has been widely used for constructing …
including probability inferences in hydrology. Copula has been widely used for constructing …
How Well Do Approximate Models of Adsorption-Based CO2 Capture Processes Predict Results of Detailed Process Models?
Appropriate selection of adsorbent materials is essential in developing adsorption-based
processes such as CO2 capture. Approximate methods to evaluate material candidates exist …
processes such as CO2 capture. Approximate methods to evaluate material candidates exist …
Entropy–copula in hydrology and climatology
A Aghakouchak - Journal of Hydrometeorology, 2014 - journals.ametsoc.org
The entropy theory has been widely applied in hydrology for probability inference based on
incomplete information and the principle of maximum entropy. Meanwhile, copulas have …
incomplete information and the principle of maximum entropy. Meanwhile, copulas have …
An LSTM based method for stage performance degradation early warning with consideration of time-series information
X Li, J Liu, M Bai, J Li, X Li, P Yan, D Yu - Energy, 2021 - Elsevier
Renewable energy accommodation in power grids leads to frequent load changes in power
plants. Therefore, an efficient monitoring method is necessary to increase the operational …
plants. Therefore, an efficient monitoring method is necessary to increase the operational …
Impact of intrinsic framework flexibility for selective adsorption of sarin in non-aqueous solvents using metal–organic frameworks
Molecular modeling of mixture adsorption in nanoporous materials can provide insight into
the molecular-level details that underlie adsorptive separations. Modeling of adsorption …
the molecular-level details that underlie adsorptive separations. Modeling of adsorption …
Ultra-short-term prediction of wind power based on error following forget gate-based long short-term memory
P Zhang, C Li, C Peng, J Tian - Energies, 2020 - mdpi.com
To improve the accuracy of ultra-short-term wind power prediction, this paper proposed a
model using modified long short-term memory (LSTM) to predict ultra-short-term wind power …
model using modified long short-term memory (LSTM) to predict ultra-short-term wind power …
Improving community cohesion in school choice via correlated-lottery implementation
In school choice, children submit a preference ranking over schools to a centralized
assignment algorithm, which takes into account schools' priorities over children and uses …
assignment algorithm, which takes into account schools' priorities over children and uses …
[HTML][HTML] Hydrochemical Evolution Process and Mechanism of Groundwater in the Hutuo River Alluvial Fan, North China
J Gai, B Yan, C Fan, Y Tuo, M Ma - Water, 2024 - mdpi.com
Due to extensive groundwater exploitation, a groundwater funnel has persisted in the Hutuo
River alluvial fan in Shijiazhuang since the 1980s, lasting nearly 40 years and significantly …
River alluvial fan in Shijiazhuang since the 1980s, lasting nearly 40 years and significantly …
Tectonic fractures induced by strike-slip faulting in intracratonic ultradeep carbonate rocks: Insights from the finite element method and self-adaptive constraints …
Y Li, W Ding, J Han, X Chen… - … Society of America …, 2024 - pubs.geoscienceworld.org
Numerical simulations of the paleostress field during a period of tectonic fracture formation
and rock failure criteria are used to quantitatively predict the development and occurrence of …
and rock failure criteria are used to quantitatively predict the development and occurrence of …
Copulas with maximum entropy
We shall find a multi-dimensional checkerboard copula of maximum entropy that matches an
observed set of grade correlation coefficients. This problem is formulated as the …
observed set of grade correlation coefficients. This problem is formulated as the …