Results 191 to 200 of about 30,440 (315)

A Simplified Two‐Vector Approach for Common‐Mode Voltage Reduction in Model Predictive Control Drives of Permanent Magnet Synchronous Motor

open access: yesEnergy Science &Engineering, EarlyView.
In this study, a modified model predictive control scheme is proposed, in which a dedicated weighting factor is incorporated into the cost function to explicitly account for common‐mode voltage (CMV) effects during the control process. This modification leads to a significant reduction—up to 40%—in the magnitude of the generated CMV.
Javad Amini, Reza Roshanafekr
wiley   +1 more source

Flow Characteristics and Response Surface Methodology‐Based Pressure‐Loss Prediction Models for the Reverse Circulation Converter in Double‐Wall Drill Pipes

open access: yesEnergy Science &Engineering, EarlyView.
Flow characteristics and pressure loss mechanisms of a reverse circulation converter in dual‐wall drill pipes are systematically investigated using CFD and response surface methodology. The results reveal the dominant role of inertial dissipation and provide a predictive framework for optimizing converter design and operational parameters. ABSTRACT The
Mingming Geng   +8 more
wiley   +1 more source

Exact Computation of the Color Function for Triangular Element Interfaces

open access: yesInternational Journal for Numerical Methods in Fluids, EarlyView.
We propose a robust algorithm, the Front2VOF algorithm, to compute the color function for triangular element interfaces in Front‐Tracking methods on a Cartesian mesh. ABSTRACT The calculation of the volume enclosed by curved surfaces discretized into triangular elements and a cube is of great importance in different domains, such as computer graphics ...
Jieyun Pan   +8 more
wiley   +1 more source

Using DSGE and Machine Learning to Forecast Public Debt for France

open access: yesJournal of Forecasting, EarlyView.
ABSTRACT Forecasting public debt is essential for effective policymaking and economic stability, yet traditional approaches face challenges due to data scarcity. While machine learning (ML) has demonstrated success in financial forecasting, its application to macroeconomic forecasting remains underexplored, hindered by short historical time series and ...
Emmanouil Sofianos   +4 more
wiley   +1 more source

DSGE Model Forecasting: Rational Expectations Versus Adaptive Learning

open access: yesJournal of Forecasting, EarlyView.
ABSTRACT This paper compares within‐sample and out‐of‐sample fit of a DSGE model with rational expectations to a model with adaptive learning. The Galí, Smets, and Wouters model is the chosen laboratory using quarterly real‐time euro area data vintages, covering 2001Q1–2019Q4.
Anders Warne
wiley   +1 more source

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