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The phrase "aggregate models for" is correct and usable in written English.
It can be used in contexts related to data analysis, statistics, or modeling where multiple models are combined or summarized.
Example: "Researchers often use aggregate models for predicting future trends based on historical data."
Alternatives: "combined models for" or "summarized models for".
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This note deals with aggregate models for complex distillation systems in large-scale flowsheets.
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First, the paper develops a small-signal aggregate model for the wind generator.
The aggregate model for heterogeneous loads is presented in Section 4.
Further, a two-stage aggregate model for diabetes is built to take advantage of the models for diabetes in general population, and for diabetes in hypertensive population; a similar aggregate model is built in the case of hypertension also.
Achieved classification accuracies from the aggregate model (for both diabetes and hypertension) built using the SVM and k-NN techniques ranged from 85%to88%8% for diabetes and from 90% to 95% for hypertension (see table 1) are significantly higher than those obtained from the component models (at 76 79% for diabetes and 76 80% for hypertension).
Aggregated models for CHP and DCHP are described in [17, 18].
In this study, aggregated models for conventional power plants and WPPs are implemented, as they have the advantage of reduced computation effort, while still containing dynamic features relevant for long term dynamic simulation studies.
Macroscopic fundamental diagram (MFD), establishing a mapping from the network flow accumulation to the trip completion rate, has been widely used for aggregate modeling of urban traffic network dynamics.
The profile images of both real aggregates and computer generated aggregate models were used for this investigation.
This specification nests both the local average and local aggregate models, so a J-test for non-nested regression models can be applied to uncover the relevance of each mechanism.
For our regression analyses, we calculated two-part and aggregate models.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com