This study proposes an investigation to prove that when companies organize in networks and use social innovation in a productive system gets economic and social gain. The object of study is a case study of Milk Producers ...

A neural approach to solve the problem defined by the economic load dispatch in power systems is presented in this paper, Systems based on artificial neural networks have high computational rates due to the use of a massive ...

This contribution presents information on mainstream research topics in Argentina deduced from the analysis of paper research codes published in the proceedings of main national meetings. We gather data from the Asociación ...

This paper studies key aspects of preventive and corrective security strategies to coordinate flexible transmission network infrastructure. To do so, we propose a two-stage stochastic optimization model that can efficiently ...

The main purpose of this paper is to apply big-data and scale-free complex network techniques to the study of world trade, with a specific focus on the investigation of ECLA and structuralist ideas. A secondary objective ...

Economic dispatch (ED) problems have recently been solved by artificial neural network approaches. Systems based on artificial neural networks have high computational rates due to the use of a massive number of simple ...

Economic dispatch (ED) problems have recently been solved by artificial neural network approaches. Systems based on artificial neural networks have high computational rates due to the use of a massive number of simple ...

A neural approach to solve the problem defined by the economic load dispatch in power systems is presented in this paper, Systems based on artificial neural networks have high computational rates due to the use of a massive ...