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...

Full description

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

Similar Items

On the Need to Determine Accurately the Impact of Higher-Order Sensitivities on Model Sensitivity Analysis, Uncertainty Quantification and Best-Estimate Predictions
by: Dan Gabriel Cacuci
Published: (2021-10-01)

Demonstrative Application to an OECD/NEA Reactor Physics Benchmark of the 2nd-BERRU-PM Method—II: Nominal Computations Apparently Inconsistent with Measurements
by: Ruixian Fang, et al.
Published: (2023-07-01)

Demonstrative Application to an OECD/NEA Reactor Physics Benchmark of the 2nd-BERRU-PM Method—I: Nominal Computations Consistent with Measurements
by: Dan G. Cacuci, et al.
Published: (2023-07-01)

Predictive Modeling of a Paradigm Mechanical Cooling Tower Model: II. Optimal Best-Estimate Results with Reduced Predicted Uncertainties
by: Ruixian Fang, et al.
Published: (2016-09-01)

Model Sensitivity Evaluation for 3DVAR Data Assimilation Applied on WRF with a Nested Domain Configuration
by: Mingchun Lam, et al.
Published: (2021-05-01)

A modified least squares-based tomography with density matrix perturbation and linear entropy consideration along with performance analysis
by: Subhadeep Mondal, et al.
Published: (2023-01-01)

Predictive Modeling of a Buoyancy-Operated Cooling Tower under Unsaturated Conditions: Adjoint Sensitivity Model and Optimal Best-Estimate Results with Reduced Predicted Uncertainties
by: Federico Di Rocco, et al.
Published: (2016-12-01)

Linear-regression models and algorithms based on the Total-Least-Squares principle
by: Ding Shijun, et al.
Published: (2012-05-01)

Computation of High-Order Sensitivities of Model Responses to Model Parameters—II: Introducing the Second-Order Adjoint Sensitivity Analysis Methodology for Computing Response Sensitivities to Functions/Features of Parameters
by: Dan Gabriel Cacuci
Published: (2023-09-01)

An Entropy-Based Kernel Learning Scheme toward Efficient Data Prediction in Cloud-Assisted Network Environments
by: Xiong Luo, et al.
Published: (2016-07-01)

Vector regression introduced
by: Mok Tik, et al.
Published: (2014-06-01)

Auxiliary Model Based Least Squares Iterative Algorithms for Parameter Estimation of Bilinear Systems Using Interval-Varying Measurements
by: Meihang Li, et al.
Published: (2018-01-01)

Constrained Inference When the Sampled and Target Populations Differ
by: Huijun Yi, et al.
Published: (2016-03-01)

First-Order Comprehensive Adjoint Sensitivity Analysis Methodology for Critical Points in Coupled Nonlinear Systems. II: Application to a Nuclear Reactor Thermal-Hydraulics Safety Benchmark
by: Dan Gabriel Cacuci
Published: (2021-01-01)

Assessing Recession Constant Sensitivity and Its Interaction with Data Adjustment Parameters in Continuous Hydrological Modeling in Data-Scarce Basins: A Case Study Using the Xinanjiang Model
by: Thandar Tun Zin, et al.
Published: (2024-01-01)

Model-Assisted and Model-Calibrated Estimation for Class Frequencies with Ordinal Outcomes
by: Maria del Mar Rueda, et al.
Published: (2022-01-01)

A Self-Adaptive Process Mining Algorithm Based on Information Entropy to Deal With Uncertain Data
by: Weimin Li, et al.
Published: (2019-01-01)

Ridge Shrinkage Estimators in Finite Mixture of Generalized Estimating Equations.
by: Sajad Nezamdoust, et al.
Published: (2022-12-01)

Identification of HIV Dynamic System in the Case of Incomplete Experimental Data
by: Peter Mathye, et al.
Published: (2016-02-01)

Least squares data fitting
by: P Ripa
Published: (2002-03-01)

Autonomous Parameter Adjustment Method for Lossless Data Compression on Adaptive Stream-Based Entropy Coding
by: Shinichi Yamagiwa, et al.
Published: (2020-01-01)

Using the (Iterative) Ensemble Kalman Smoother to Estimate the Time Correlation in Model Error
by: Javier Amezcua, et al.
Published: (2023-02-01)

Computation of High-Order Sensitivities of Model Responses to Model Parameters—I: Underlying Motivation and Current Methods
by: Dan Gabriel Cacuci
Published: (2023-09-01)

Comparison of Statistical Dynamical, Square Root and Ensemble Kalman Filters
by: Jorgen S. Frederiksen, et al.
Published: (2008-11-01)

Assessing the Impact of Surface and Upper-Air Observations on the Forecast Skill of the ACCESS Numerical Weather Prediction Model over Australia
by: Sergei Soldatenko, et al.
Published: (2018-01-01)

Multi-Weather Evaluation of Nowcasting Methods Including a New Empirical Blending Scheme
by: Hsin-Hung Lin, et al.
Published: (2020-10-01)

Adaptive Model Predictive Control Scheme Based on Non-Minimal State Space Representation
by: Zia Ur Rehman, et al.
Published: (2023-07-01)

Maximum Entropy Rate Reconstruction of Markov Dynamics
by: Gregor Chliamovitch, et al.
Published: (2015-06-01)

Analisis Pengaruh Variabel-Variabel Makroekonomi terhadap Tingkat Pengembalian di Pasar Modal Periode 2000 -2011 dengan Membandingkan Hasil Estimasi OLS, GLS dan MLE
by: Sari Minjari Damayanti
Published: (2014-05-01)

Novel Kernel Orthogonal Partial Least Squares for Dominant Sensor Data Extraction
by: Bo-Wei Chen
Published: (2020-01-01)

Polinômio dos quadrados mínimos condicionado
by: Oclide J. Dotto, et al.

Impact of assimilation window length on diurnal features in a Mars atmospheric analysis
by: Yongjing Zhao, et al.
Published: (2015-05-01)

Sensitivity analysis in linear models
by: Liu Shuangzhe, et al.
Published: (2016-05-01)

Uncertainty Quantification of Random Microbial Growth in a Competitive Environment via Probability Density Functions
by: Vicente José Bevia, et al.
Published: (2021-03-01)

Analysis of Meshfree Galerkin Methods Based on Moving Least Squares and Local Maximum-Entropy Approximation Schemes
by: Hongtao Yang, et al.
Published: (2024-02-01)

Parameter estimation (least squares estimation) of coupled-tank system /
by: 405670 Si, Woan Yng
Published: (2002)

Enhanced reconstruction of weighted networks from strengths and degrees
by: Rossana Mastrandrea, et al.
Published: (2014-01-01)

Model fit after pairwise maximum likelihood
by: M. T. eBarendse, et al.
Published: (2016-04-01)

A Comparison of the Maximum Entropy Principle Across Biological Spatial Scales
by: Rodrigo Cofré, et al.
Published: (2019-10-01)

Scaled weighted total least-squares adjustment for partial errors-in-variables model
by: Zhao J.
Published: (2016-12-01)