Results 1 to 10 of about 201 (133)

Planificación operativa de microrredes inteligentes considerando mercados intradiarios

open access: yes, 2022
ilustraciones, diagramasEnvironmental concerns and sustainable development promote the adoption of smart microgrids (SMGs). However, economic interests promote an increase in income, which can result in non-optimal situations, such as non-supply of ...
Garcia Guarín, Pedro Julian
core   +1 more source

Forecasting the Risk of Bankruptcy in Poorly Formalized Processes [PDF]

open access: yes
There is a class of complex systems characterized by dynamism, multi-link structural elements, multi-stage, multi-linked chain of processes. Moreover, each of these processes occurs under conditions of stochastic and non-stochastic uncertainty in the ...
Solieva, B. T.   +2 more
core   +3 more sources

Sobre el uso de los conjuntos aleatorios en la ingeniería geotécnica

open access: yes, 2021
ilustraciones, gráficas, tablasGeotechnics is subject to two major types of uncertainty: aleatory and epistemic. Aleatory uncertainty refers to the inherent variability of materials and their external agents, while epistemic uncertainty refers to the ...
Sepúlveda García, Juan José
core  

Robust design methodologies: application to compressor blades

open access: yes, 2006
Compressor blades are subtle aerodynamic shapes designed after years of research and insight. They inevitably show deviations from their desired shapes due to manufacturing errors, erosion or foreign object damage.
Kumar, Apurva
core  

Construction of fuzzy risk assessment models.

open access: yes, 2018
The tasks of making decisions on risk assessment, depending on the conditions of uncertainty, are divided into two types: decision-making tasks under conditions where the initial data are stochastic; decision-making tasks under conditions when the ...
Bekmuratov, T.F, Solieva, B.T
core  

Simple low cost causal discovery using mutual information and domain knowledge

open access: yes, 2011
PhDThis thesis examines causal discovery within datasets, in particular observational datasets where normal experimental manipulation is not possible. A number of machine learning techniques are examined in relation to their use of knowledge and the ...
Joseph, Adrian
core  

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