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Simulation of the model predictive control applied to a combined cycle plant
(Institute of Electrical and Electronics Engineers Inc., 2016-10)
We present the simulation of the application of the Model-based Predictive Control (MPC) of the drum level in a Combined Cycle Plant in order to minimize the time for reaching the highest capacity of plant, around 225 MW. ...
The predictive performance of process-explicit range change models remains largely untested
(2022)
Ecological models used to forecast range change (range change models; RCM) have recently diversified to account for a greater number of ecological and observational processes in pursuit of more accurate and realistic ...
Robust Identification of PWL-Wiener Models: Use in Model Predictive Control
(Planta Piloto de Ingeniería Química, 2003-06)
In this paper a robust identification strategy for Wiener like models constituted by a linear dynamic block a in series with a Piecewise Linear (PWL) functions as the nonlinear static gain is presented. The proposed ...
Coupled Model Transformations for QoS Enabled Component-Based Software Design
This thesis presents the Palladio Component Model and its accompanying transformations for component-based software design with predictable performance attributes. The use of transformations results in a deterministic ...
Genomic prediction with epistasis models: on the marker-coding-dependent performance of the extended GBLUP and properties of the categorical epistasis model (CE)
(Biomed Central Ltd, 2017-01-03)
Background: Epistasis marker effect models incorporating products of marker values as predictor variables in a linear regression approach (extended GBLUP, EGBLUP) have been assessed as potentially beneficial for genomic ...
Electrical load prediction of healthcare buildings through single and ensemble learning
Healthcare buildings are characterized by complex energy systems and high energy usage, therefore
serving as the key areas for achieving energy conservation goals in the building sector. An accurate
load prediction of ...
"Comparison of Predictive Machine Learning Models to Predict the Level of Adaptability of Students in Online Education"
(Science and Information OrganizationGBR, 2023)
"With the onset of the COVID-19 pandemic, online
education has become one of the most important options
available to students around the world. Although online
education has been widely accepted in recent years, the ...
"Comparison of Predictive Machine Learning Models to Predict the Level of Adaptability of Students in Online Education"
(Science and Information OrganizationGBR, 2023)
"With the onset of the COVID-19 pandemic, online
education has become one of the most important options
available to students around the world. Although online
education has been widely accepted in recent years, the ...
Analysis of Finite-Control-Set Model Predictive Current Control With Model Parameter Mismatch in a Three-Phase Inverter
(2016)
It is well known that predictive control methods can be affected by the presence of modeling errors. The extent to which finite-control-set model predictive control (FCS-MPC) is influenced by parametric uncertainties is a ...