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.

Guyana: socio-economic assessment of the damages and losses caused by the January-February 2005 flooding

Includes bibliography

Saint Lucia: macro socio-economic assessment of the damage and losses caused by hurricane Dean

Includes bibliography

Commonwealth of Dominica: socio-economic assessment of the damage and losses caused by hurricane Dean

Includes bibliography

Belize: macro socio-economic assessment of the damage and losses caused by hurricane Dean

Includes bibliography

Turks and Caicos Islands: macro socio-economic assessment of the damage and losses caused by tropical storm Hanna and hurricane Ike

Includes bibliography

Cayman Islands: macro socio-economic assessment of the damage and losses caused by hurricane Paloma

Includes bibliography

Fatores operacionais e cinética do processo fermentativo para otimização da produção de etanol em escala industrial

Pós-graduação em Microbiologia Agropecuária - FCAV

Densidade de semeadura da soja e profundidade de deposição do adubo no sistema plantio direto

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Avaliação de medidores com múltiplas tomadas de pressão na macromedição em sistemas de água

Pós-graduação em Engenharia Civil - FEIS

Belize: Macro socio-economic assessment of the damage and losses caused by tropical depression 16

Tropical Depression 16 (TD16) crept up on disparate populations in Belize over a period 8-16 October 2008. TD16 struck less than five months after the first named tropical storm of the 2008 Atlantic season, Arthur. The storm had been forecasted to dump up to 10 inches of rain over Belize and up to 15 inches in isolated areas. Arthur had devastating effects on Belize, particularly the southern regions where bridges collapsed and lives were lost. It was in the aftermath of such devastation that Belize faced TD16. The consequence of TD16 is what falls under the purview of this assessment.

Losses of immunoreactive parvalbumin amacrine and immunoreactive alphaprotein kinase C bipolar cells caused by methylmercury chloride intoxication in the retina of the tropical fish Hoplias malabaricus

To quantify the effects of methylmercury (MeHg) on amacrine and on ON-bipolar cells in the retina, experiments were performed in MeHg-exposed groups of adult trahiras (Hoplias malabaricus) at two dose levels (2 and 6 µg/g, ip). The retinas of test and control groups were processed by mouse anti-parvalbumin and rabbit anti-_aprotein kinase C (_aPKC) immunocytochemistry. Morphology and soma location in the inner nuclear layer were used to identify immunoreactive parvalbumin (PV-IR) and _aPKC (_aPKC-IR) in wholemount preparations. Cell density, topography and isodensity maps were estimated using confocal images. PV-IR was detected in amacrine cells in the inner nuclear layer and in displaced amacrine cells from the ganglion cell layer, and _aPKC-IR was detected in ON-bipolar cells. The MeHg-treated group (6 µg/g) showed significant reduction of the ON-bipolar _aPKC-IR cell density (mean density = 1306 ± 393 cells/mm²) compared to control (1886 ± 892 cells/mm²; P < 0.001). The mean densities found for amacrine PV-IR cells in MeHg-treated retinas were 1040 ± 56 cells/mm² (2 µg/g) and 845 ± 82 cells/mm² (6 µg/g), also lower than control (1312 ± 31 cells/mm²; P < 0.05), differently from the data observed in displaced PV-IR amacrine cells. These results show that MeHg changed the PV-IR amacrine cell density in a dose-dependent way, and reduced the density of _aKC-IR bipolar cells at the dose of 6 µg/g. Further studies are needed to identify the physiological impact of these findings on visual function.