Perspective on Predictive Modeling: Current Status, New High-Order Methodology and Outlook for Energy Systems

Perspective on Predictive Modeling: Current Status, New High-Order Methodology and Outlook for Energy Systems

This work presents a perspective on deterministic predictive modeling methodologies, which aim at extracting best-estimate values for model responses and parameters along with reduced predicted uncertainties for these best-estimate values. The two oldest such methodologies are the data-adjustment me...

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Bibliographic Details
Main Author: Dan Gabriel Cacuci
Format: Article
Language:English
Published: MDPI AG 2023-01-01
Series:Energies
Subjects:
predictive modeling
data adjustment
data assimilation
maximum entropy principle
least squares
response sensitivities to model parameters
Online Access:https://www.mdpi.com/1996-1073/16/2/933

Internet

https://www.mdpi.com/1996-1073/16/2/933

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