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In previous researches, the large signal models of DC microgrids have been developed without using any time averaging technique. Thus, the results obtained from available DC microgrid large signal models have not been verified by results from their detailed models. This paper presents a suitable large signal model
null M. Mahmoodi +1 more
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In previous researches, the large signal models of DC microgrids have been developed without using any time averaging technique. Thus, the results obtained from available DC microgrid large signal models have not been verified by results from their detailed models. This paper presents a suitable large signal model
null M. Mahmoodi +1 more
openaire +1 more source
Testing a Nonlinear Regression Specification: A Nonregular Case
Journal of the American Statistical Association, 1977A Ronald Gallant
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Model Averaging for Nonlinear Regression Models
Journal of Business and Economic Statistics, 2022Yang Feng, Qingfeng Liu
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Generalization Evaluation of a Nonlinear Auto-Regressive Neural Network for PON Technologies
2023 SBMO/IEEE MTT-S International Microwave and Optoelectronics Conference (IMOC), 2023Enzo Gomes Pinto Perin da Cruz +6 more
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An interior point algorithm for nonlinear quantile regression
Journal of Econometrics, 1996Roger Koenker
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Functional-Coefficient Regression Models for Nonlinear Time Series
Journal of the American Statistical Association, 2000Zongwu Cai, Jianqing Fan, Qiwei Yao
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Consequences and Detection of Misspecified Nonlinear Regression Models
Journal of the American Statistical Association, 1981Halbert White
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Tolerance Approach to Possibilistic Nonlinear Regression With Interval Data
IEEE Transactions on Cybernetics, 2014Milan Hladik, Michal Černý
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Quadratic programming for nonlinear regression
Communications of the ACM, 1972Richard I Shrager
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