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Load modeling at electric power distribution substations using dynamic load parameters estimation
(Elsevier Sci LtdOxfordInglaterra, 2004)
Short-term multinodal load forecasting in distribution systems using general regression neural networks
(2011-10-05)
Multinodal load forecasting deals with the loads of several interest nodes in an electrical network system, which is also known as bus load forecasting. To perform this demand, it is necessary a technique that is precise, ...
Short-term multinodal load forecasting in distribution systems using general regression neural networks
(2011-10-05)
Multinodal load forecasting deals with the loads of several interest nodes in an electrical network system, which is also known as bus load forecasting. To perform this demand, it is necessary a technique that is precise, ...
Synchronous machines parameters identification using load rejection test data
(1997-01-01)
This work shows a computational methodology for the determination of synchronous machines parameters using load rejection test data. The quadrature axis parameters are obtained with a rejection under an arbitrary reference, ...
Method for estimating railroad track settlements due to dynamic traffic loads
(2005-12-01)
This paper is the result of real-scale physical modeling study designed to simulate the load-deformation characteristics of railroad foundation systems that include the railroad ties, the ballast, and the sub-base layers ...
Method for estimating railroad track settlements due to dynamic traffic loads
(2005-12-01)
This paper is the result of real-scale physical modeling study designed to simulate the load-deformation characteristics of railroad foundation systems that include the railroad ties, the ballast, and the sub-base layers ...
Neural network based estimation of torque in induction motors for real-time applications
(Taylor & Francis Inc, 2005-04-01)
Induction motors are largely used in several industry sectors. The selection of an induction motor has still been inaccurate because in most of the cases the load behavior in its shaft is completely unknown. The proposal ...
Neural network based estimation of torque in induction motors for real-time applications
(Taylor & Francis Inc, 2005-04-01)
Induction motors are largely used in several industry sectors. The selection of an induction motor has still been inaccurate because in most of the cases the load behavior in its shaft is completely unknown. The proposal ...