Compendium of technical recommendations and good practices for preparing directories of enterprises and establishments

Includes bibliography

Cooperación técnica entre países en desarrollo: la experiencia de CDCC = Technical co-operation among developing countries: the CDCC experience = Coopération technique entre pays en développement: l'expérience du CDCC

Contiene el rol y las tareas especificas del CDCC en el area de la cooperacion tecnica entre los paises en desarrollo de organizar y facilitar el intercambio de informacion y experiencia a traves de la region para solucionar los problemas que entorpecen el desarrollo de los paises miembros; asi como las recomendaciones relacionadas con el tema a ser consideradas en su decima sesion.

Technical co-operation among developing countries: the CDCC experience = Cooperación técnica entre países en desarrollo: la experiencia del CDCC

Revisa algunas actividades de la Secretaria del CDCC en promocion y apoyo a la cooperacion horizontal durante el periodo 1986/87.

Multilayer perceptron neural networks training through charged system search and its Application for non-technical losses detection

The non-technical loss is not a problem with trivial solution or regional character and its minimization represents the guarantee of investments in product quality and maintenance of power systems, introduced by a competitive environment after the period of privatization in the national scene. In this paper, we show how to improve the training phase of a neural network-based classifier using a recently proposed meta-heuristic technique called Charged System Search, which is based on the interactions between electrically charged particles. The experiments were carried out in the context of non-technical loss in power distribution systems in a dataset obtained from a Brazilian electrical power company, and have demonstrated the robustness of the proposed technique against with several others nature-inspired optimization techniques for training neural networks. Thus, it is possible to improve some applications on Smart Grids. © 2013 IEEE.

Using baseline methods to identify non-technical losses in the context of smart grids

Demand response has gained increasing importance in the context of competitive electricity markets and smart grid environments. In addition to the importance that has been given to the development of business models for integrating demand response, several methods have been developed to evaluate the consumers' performance after the participation in a demand response event. The present paper uses those performance evaluation methods, namely customer baseline load calculation methods, to determine the expected consumption in each period of the consumer historic data. In the cases in which there is a certain difference between the actual consumption and the estimated consumption, the consumer is identified as a potential cause of non-technical losses. A case study demonstrates the application of the proposed method to real consumption data. © 2013 IEEE.