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A probabilistic wind power forecasting model considering power error correlation
Published 2025-07-01“…New energy sources, such as wind power, are characterized by volatility and intermittency, leading to significant uncertainty in wind power output and errors in power forecasting. To accurately capture the differentiated distribution of power forecasting errors, a copula-based probabilistic wind power forecasting model considering power error correlation is proposed. …”
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Kernel Ridge-Type Shrinkage Estimators in Partially Linear Regression Models with Correlated Errors
Published 2025-06-01“…Partially linear time series models often suffer from multicollinearity among regressors and autocorrelated errors, both of which can inflate estimation risk. …”
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Limitations to Dynamical Error Suppression and Gate-Error Virtualization from Temporally Correlated Nonclassical Noise
Published 2025-02-01“…Realistic multiqubit noise processes often result in error mechanisms that are not captured by the probabilistic Markovian error models commonly employed in circuit-level analyses of quantum fault tolerance. …”
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Individual differences in neurophysiological correlates of post-response adaptation: A model-based approach
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Correlation Between Involute Profile Waviness and Gear Transmission Performance
Published 2023-03-01“…Based on the meshing principle, the correlation of wavelength, amplitude, phase of waviness and transmission error is analyzed in the time domain and frequency domain, and verified by actual tooth surface data. …”
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Convective-scale forecast errors over Taiwan: an ensemble analysis of error covariances and their influences
Published 2025-03-01“…Using a set of 72-member ensemble forecasts generated by the Weather Research and Forecasting (WRF) model, the structures of error variance and error correlation are examined. …”
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Deep Learning Shield Attitude Prediction Model Based on Grey Correlation Analysis
Published 2025-03-01Subjects: Get full text
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Post-stroke lesion correlates of errors in verbal and spatial production tasks
Published 2025-04-01“…Right inferior frontal lesions correlated with errors in both tasks. In addition, left frontal white matter (WM) lesions were associated with spatial errors, whereas right frontal WM lesions were associated with verbal errors. …”
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Measurement and Modeling of Spindle Thermal Error of Fiveaxis CNC Machine Tool with Double Turntable
Published 2019-12-01“…K-means + + algorithm is used to cluster all temperature measurement points, and correlation coefficient method is used to calculate the correlation between each temperature variable and the thermal error of the spindle, so as to determine the temperature sensitive points, combined with the separated thermal error to establish a multivariate linear regression model of spindle thermal error. …”
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Research on data-driven and correlation-based electric energy error analysis method
Published 2025-01-01“…On the basis of the continuous accumulation of operating errors in the power system, generate full-scale error data of the electric energy meter, divide the processed full-scale error time series and key features such as timeliness, identify the change points by comparing the Pearson correlation coefficient matrix of multiple acquisition periods, and establish a data-driven error correlation prediction model that does not depend on specific power consumption environments and only relies on the intrinsic components of the electric energy meter error. …”
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Estimation of Unknown Object Measures in a Chemical Weighing Design with Correlated Errors
Published 2024-09-01“…These designs are tested under the assumption that measurement errors are correlated and have the same variances. …”
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Correlated systematic uncertainties and errors-on-errors in measurement combinations with an application to the 7–8 TeV ATLAS–CMS top quark mass combination
Published 2025-02-01“…Abstract The Gamma Variance Model is a statistical model that incorporates uncertainties in the assignment of systematic errors (informally called errors-on-errors). …”
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Review and Evaluation of Slip-ratio-based Void Fraction Prediction Models
Published 2025-01-01“…The overall performance of these slip-ratio-based void fraction models was comprehensively evaluated both based on the error analysis and the grey correlation analysis. …”
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A Two-Stage Method for Decorrelating the Errors in Log-Linear Models for Spectral Density Comparisons in Neural Spike Sequences
Published 2025-06-01Subjects: Get full text
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Bit Error Rate of Multi-Gaussian Correlated Asymmetric Bessel Beam Through Turbulent Ocean
Published 2025-03-01“…Based on the derivation of orbital angular momentum mode distribution, the theoretical model of bit error rate (BER) is constructed. Numerical analyses show that the low-temperature oceanic channel is more beneficial to BER reduction than the low-salinity channel. …”
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Exploring Molecular Pathways in Refractive Errors Associated with Inherited Retinal Dystrophies
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VECTOR ERROR CORRECTION MODEL FOR FORECASTING SHEEP NUMBERS IN BULGARIA
Published 2016-01-01“…The aim of this study was to forecast sheep numbers in Bulgaria on 01.11.2016 and on 01.11.2017, using a vector error correction model (VECM). A vector error correction model was constructed to forecast sheep numbers in Bulgaria for 2016 and 2017. …”
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COMPOSITE MODEL ERROR SOURCES IN DISCRETE CHANNELS OF DATA CONVERSION
Published 2016-11-01“…Designed component model of the source of errors in real discrete channels of data conversion, based on the joint use of the channel within dependent generalized errors and channel with correlated errors pack image on the background of independent errors. …”
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Dependence of the Correlation Coefficient Between the Results of a Parameter Measurement and Its True Values on the Reduced Measurement Error
Published 2019-03-01“…The article proposes a model of the correlation field between the parameter true values and the results of its measurement with a given reduced error δ. …”
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