A probabilistic wind power forecasting model considering power error correlation by CHEN Wenjin, WANG Xiaozhong, ZHANG Si, GAN Wen, SHEN Chengliang, GU Weikang, QIU Jian

“…To accurately capture the differentiated distribution of power forecasting errors， a copula-based probabilistic wind power forecasting model considering power error correlation is proposed. First， a wind power point forecasting model is developed using prompt learning to predict the trends in wind power. …”
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Convective-scale forecast errors over Taiwan: an ensemble analysis of error covariances and their influences by Kao-Shen Chung, Chih-Chien Tsai, Li-Hsin Chen, Shu-Chih Yang

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Research and Simulation of Metro Pantograph-catenary SystemBased on Least Square Support Vector Machine by Jiang Wei, Huang Yuping

Subjects: “…error correlation…”
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Reduction of Mutual Coupling in UWB/MIMO Antenna Using Stub Loading Technique by Jabire Adamu Halilu, Abdu Anas, Saminu Sani, Salisu Sani, Sadiq Abubakar Muhammad, Jajere Adamu Mohammed, Ahmed Yusuf Kola

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Multivariate Bayesian Global–Local Shrinkage Methods for Regularisation in the High-Dimensional Linear Model by Valentina Mameli, Debora Slanzi, Jim E. Griffin, Philip J. Brown

“…In particular, if the structural assumption of conjugacy is used, the performance of the posterior predictive distribution deteriorates relative to non-conjugate choices as the error correlation becomes stronger.…”
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Study of Flight Departure Delay and Causal Factor Using Spatial Analysis by Shaowu Cheng, Yaping Zhang, Siqi Hao, Ruiwei Liu, Xiao Luo, Qian Luo

“…The spatial error model (SEM) and spatial lag model (SLM) are then established to solve the error correlation and the variable lag effect, respectively. …”
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Fuzzy Regulator Design for Wind Turbine Yaw Control by Stefanos Theodoropoulos, Dionisis Kandris, Maria Samarakou, Grigorios Koulouras

“…The specific fuzzy controller takes into account both the wind velocity and the acceptable yaw error correlation in order to achieve maximum performance efficacy. …”
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Prediction of Moisture Content in Kiwi (Actinidia deliciosa) Dried Using Machine Learning Approaches by Halil Nusret BULUS, Soner CELEN

“…These models were assessed using mean absolute percentage error, correlation coefficient, root mean square error and mean bias error metrics. …”
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A Radar Wind Analysis System for Nowcast Applications by Qin Xu, Li Wei, Kang Nai, Shun Liu, Robert M. Rabin, Qingyun Zhao

“…This paper presents the detailed formulations of background error correlation functions used in each of the three steps of vector wind analysis performed in the RWAS and the method of solution used in each step of vector wind analysis. …”
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Bike users’ route choice behaviour: Expectations from electric bikes versus reality in Greater Helsinki by Khashayar Khavarian, Shaghayegh Vosough, Claudio Roncoli

“…The study also compares the outputs of multinomial and mixed Logit models for both e-bike and regular bike users to address the impact of error correlation in SP data. Furthermore, by employing a classification approach, the study examines the differences between the expected and actual behavioural changes upon using e-bikes, referred to as the expectation–reality gap, in terms of route choice behaviour. …”
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Research on data-driven and correlation-based electric energy error analysis method by RONG Xueqin, DING Yingying, LIU Yong

“…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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SPATIAL MODELING OF POVERTY IN BENGKULU PROVINCE WITH MIXED GEOGRAPHICALLY WEIGHTED REGRESSION by Sigit Nugroho, Dyah Setyo Rini, Tommy Jomecho, Cinta Rizky Oktarina, Stevy Cahya Pratiwi, Elisabeth Evelin Karuna

“…Spatial dependency occurs due to spatial error correlation in cross section data, while spatial heterogeneity occurs due to random area effects, which is the difference between one region and another. …”
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The genetic connectedness calculated from genomic information and its effect on the accuracy of genomic prediction. by Suo-Yu Zhang, Babatunde Shittu Olasege, Deng-Ying Liu, Qi-Shan Wang, Yu-Chun Pan, Pei-Pei Ma

“…A simulation study was performed to evaluate the genome-based genetic connectedness across herds by applying prediction error variance of difference (PEVD), coefficient of determination (CD) and prediction error correlation (r). Genomic estimated breeding values (GEBV) were predicted using a GBLUP model from a single and joint reference population. …”
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Optimized SVR with nature-inspired algorithms for environmental modelling of mycotoxins in food virtual-water samples by Abdullahi G. Usman, Sagiru Mati, Hanita Daud, Ahmad Abubakar Suleiman, Sani I. Abba, Hijaz Ahmad, Taha Radwan

“…The performance of the models was assessed via mean square error, correlation coefficient, and Nash–Sutcliffe efficiency. …”
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Machine learning models for performance estimation of solar still in a humid sub-tropical region by Farooque Azam, Naiem Akhtar, Shahid Husain

“…Their performance was evaluated using statistical indicators such as mean bias error, mean absolute percentage error, correlation coefficient, t-statistics, and maximum absolute relative error. …”
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Prediction of Clavien Dindo Classification ≥ Grade III Complications After Epithelial Ovarian Cancer Surgery Using Machine Learning Methods by Aysun Alci, Fatih Ikiz, Necim Yalcin, Mustafa Gokkaya, Gulsum Ekin Sari, Isin Ureyen, Tayfun Toptas

“…Mean absolute error, root mean squared error, correlation coefficients, Mathew’s correlation coefficient, and F1 score were used to determine the best performing algorithm. …”
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Observed impact of the GNSS clock data rate on radio occultation bending angles for Sentinel-6A and COSMIC-2 by S. Padovan, A. von Engeln, S. Paolella, Y. Andres, C. R. Galley, R. Notarpietro, V. Rivas Boscan, F. Sancho, F. Martin Alemany, N. Morew, C. Marquardt

“…In the same impact height range, higher-rate GLONASS clocks also significantly reduce the vertical error correlation. These results are likely the manifestation of the different kinds of short-timescale behavior of the atomic clocks on board the GPS and GLONASS constellations.…”
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Compatibility Between OLCI Marine Remote-Sensing Reflectance from Sentinel-3A and -3B in European Waters by Frédéric Mélin, Ilaria Cazzaniga, Pietro Sciuto

“…Estimates of the error correlation between S-3A and S-3B <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msub><mi>R</mi><mrow><mi>R</mi><mi>S</mi></mrow></msub></semantics></math></inline-formula>, required to evaluate their compatibility, are computed based on common matchups and indicate varying levels of correlation for the various bands and sites in the interval 0.33–0.60 between 412 and 665 nm considering matchups of all sites put together. …”
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Factors affecting hematological parameters in Creole goats on the Southern Coast of Peru by Jhony Soca, Emmanuel Alexander Sessarego, Pamela Sarmiento, María José Cevallos-Cardenas, Juan Canchino-Gutierrez, Jose Teran, Jose Antonio Ruiz, Juancarlos Cruz-Luis, Danny Julio Cruz

“…Robust linear regression models with MM-estimation were applied, with model selection based on Akaike information criterion, Bayesian information criterion, and root mean square error. Correlation analyses and hierarchical clustering were also performed to explore inter-parameter relationships. …”
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Application of ultrasonic physics in material technology by Ignacy MAŁECKI

“…Ultrasonic defectoscopy as used for the detection of internal defects and measurement errors. Correlation between indications of a defectoscope and the mechanical strength of the construction. …”
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