Uncertainty Modeling, Error Charts and Improvement of Subgrid Models

2008 ◽  
pp. 37-44 ◽  
Author(s):  
P. Sagaut ◽  
J. Meyers ◽  
D. Lucor
Keyword(s):  
Uncertainty Modeling ◽  
Modeling Error

An approach to modeling error in air-Midas using contextual control model

2003 ◽  
Author(s):  
Savita A. Verma ◽  
Kevin Corker ◽  
Amit Jadhav
Keyword(s):  
Control Model ◽  
Contextual Control ◽  
Modeling Error

A novel interval forecasting system for uncertainty modeling based on multi-input multi-output theory: A case study on modern wind stations

2021 ◽  
Vol 163 ◽  
pp. 88-104
Author(s):  
Tongxiang Liu ◽  
Qiujun Zhao ◽  
Jianzhou Wang ◽  
Yuyang Gao
Keyword(s):  
Uncertainty Modeling ◽  
Forecasting System

scholarly journals Method of Estimating Uncertainty as a Way to Evaluate Continuity Quality of Power Supply in Hospital Devices

Energies ◽  
2021 ◽  
Vol 14 (2) ◽  
pp. 486
Author(s):  
Marek Stawowy ◽  
Adam Rosiński ◽  
Jacek Paś ◽  
Tomasz Klimczak
Keyword(s):  
Power Systems ◽  
Power Supply ◽  
Uncertainty Modeling ◽  
Supply System ◽  
Additional Advantage ◽  
Quality Models ◽  
Reliability Indicators ◽  
Electrical Devices

The article presents issues related to the determination of the continuity quality of power supply (CQoPS) for hospital electrical devices. The model describing CQoPS takes into account power redundancy. The uncertainty modeling method based on the certainty factor (CF) of the hypothesis was used to establish the single-valued CQoPS factor. CQoPS modeling takes into account multidimensional quality models and physical stages of power. The quality models take into account seven dimensions that make up CQoPS (availability, appropriate amount, power supply reliability, power quality, assurance, responsiveness, security). The model of power stages includes five of these stages (power generation, delivery to recipient, distribution by recipient, delivery to device, power-consuming device). To date, when designing hospital power systems, the applied reliability indicators revealed limitations because they do not consider all the possible factors influencing the power continuity. Estimating the supply continuity quality with the use of the uncertainty modeling proposed in this article allows for taking into account all possible factors (not just reliability factors) that may affect supply continuity. The presented modeling offers an additional advantage, namely, it allows an expanded evaluation of the hospital supply system and a description using only one indicator. This fact renders the evaluation of the supply system possible for unqualified staff. At the end of the article, some examples of calculations and simulations are presented, thus showing that the applied methods give the expected results.

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