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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, ...
Fast parametric models for EM design using neural networks and space mapping
(IEEE MTT-S Int. Microwave Symp. Workshop Notes and Short Courses, 2013)
Artificial neural networks and multiple linear regression model using principal components to estimate rainfall over South America
(Nonlinear Processes Geophysics, 2016)
Spectral phase estimation based on deep neural networks for single channel speech enhancement
Majority of speech processing algorithms operate only with the spectral magnitude, leaving spectral phase unstructured and unexplored. With recent advancement in deep neural networks (DNNs), the phase processing became ...
Sensitivity analysis by neural networks applied to power systems transient stability
(Elsevier B.V., 2007-05-01)
This work presents a procedure for transient stability analysis and preventive control of electric power systems, which is formulated by a multilayer feedforward neural network. The neural network training is realized by ...
Artificial neural network applied to estimate the power output of bipv systems
This paper presents an artificial neural network (ANN) model to estimate the power generated by integrated photovoltaic systems in buildings - BIPVS. The model has as primordial variables, the solar radiation and the ambient ...
Comparison of logistic and neural network models to fit to the egg production curve of White Leghorn hens
(Poultry Science Assoc Inc, 2011-03-01)
Neural networks are capable of modeling any complex function and can be used in the poultry and animal production areas. The aim of this study was to investigate the possibility of using neural networks on an egg production ...