Spatial load forecasting using a demand propagation approach

A method for spatial electric load forecasting using multi-agent systems, especially suited to simulate the local effect of special loads in distribution systems is presented. The method based on multi-agent systems uses two kinds of agents: reactive and proactive. The reactive agents represent each sub-zone in the service zone, characterizing each one with their corresponding load level, represented in a real number, and their relationships with other sub-zones represented in development probabilities. The proactive agent carry the new load expected to be allocated because of the new special load, this agent distribute the new load in a propagation pattern. The results are presented with maps of future expected load levels in the service zone. The method is tested with data from a mid-size city real distribution system, simulating the effect of a load with attraction and repulsion attributes. The method presents good results and performance. © 2011 IEEE.

Influência da dopagem com oxigênio nas propriedades anelásticas e biocompatibilidade de ligas Ti-5%pNb e Ti-10%pNb

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

A influência do lobby do etanol na definição da política agrícola e energética dos Estados Unidos (2002-2011)

Pós-graduação em Relações Internacionais (UNESP - UNICAMP - PUC-SP) - FFC

Efeito de elementos substitucionais e intersticiais na microestrutura, dureza e módulo de elasticidade de ligas Ti-Nb

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Energy demand in soybean seeding on maize straw intercropped with forage

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Projeto de um transdutor binocular utilizando extensometria e aplicação na pesagem rodoviária

With the passage of time, the variety of companies from each branch has gradually grown throughout the country. As a consequence, the logistics to attend to such demand has grown in the same proportion. One factor to highlight about this rapid growth is the increase of freight vehicles roaming the roads, often carrying loads over the limit established by law. At first it may seem that this would not bring any problem, however, note that an excessive number of overloads ends up deteriorating the asphalt, causing ondulations, potholes and other imperfections on the roads, which can cause accidents. In addition, the money spent for the maintenance of the roads is high. Thinking about it, it was established by law a regulation that restricts the weight limit for these vehicles, through axle weighing, subject to a fine. With this control the road floor is preserved for longer, requiring less maintenance expenses. The weighing stations use load cells to display the inferred weight, these cells use strain gages in its construction. The following work presents a methodology to dimension a binocular load cell, its main elements and its dimensioning. Showing how different materials can affect the dimensioning, so that can work satisfactorily. It also presents an overview of how are the parameters for weighing, and fines

Study of the removal of chemical oxygen demand of the cheese whey and wastewater from dairy industry using Spirulina platensis

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

The "chemical oxygen demand/total volatile acids" ratio as an anaerobic treatability indicator for landfill leachates

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Influence of double excitation AC/DC in the reactive power demand of 3-phase transformers

In this work it is discussed the performance of the reactive power demand in three-leg transformer core and three-phase transformer bank, under different conditions of AC/DC double excitation. In order to analyse the influence of double excitation in reactive power theoretically a mathematical model was developed considering the mutual coupling between phases and the magnetic nonlinearity. The validity of the proposed model is verified by means of the experimental and simulated results.

GIS-based analytical tools for transport planning: spatial regression models for transportation demand forecast

Considering the importance of spatial issues in transport planning, the main objective of this study was to analyze the results obtained from different approaches of spatial regression models. In the case of spatial autocorrelation, spatial dependence patterns should be incorporated in the models, since that dependence may affect the predictive power of these models. The results obtained with the spatial regression models were also compared with the results of a multiple linear regression model that is typically used in trips generation estimations. The findings support the hypothesis that the inclusion of spatial effects in regression models is important, since the best results were obtained with alternative models (spatial regression models or the ones with spatial variables included). This was observed in a case study carried out in the city of Porto Alegre, in the state of Rio Grande do Sul, Brazil, in the stages of specification and calibration of the models, with two distinct datasets.

The chemical oxygen demand / total volatile acids ratio as an anaerobic treatability indicator for landfill leachates

In some operational circumstances a fast evaluation of landfill leachate anaerobic treatability is necessary, and neither Biochemical Methane Potential nor BOD/COD ratio are fast enough. Looking for a fast indicator, this work evaluated the anaerobic treatability of landfill leachate from São Carlos-SP (Brazil) in a pilot scale Anaerobic Sequence Batch Biofilm Reactor (AnSBBR). The experiment was conducted at ambient temperature in the landfill area. After the acclimation, at a second stage of operation, the AnSBBR presented efficiency above 70%, in terms of COD removal, utilizing landfill leachate without water dilution, with an inlet COD of about 11,000 mg.L-1, a TVA/COD ratio of approximately 0.6 and reaction time equal to 7 days. To evaluate the landfill leachate biodegradability variation over time, temporal profiles of concentration were performed in the AnSBBR. The landfill leachate anaerobic biodegradability was verified to have a direct and strong relationship to the TVA/COD ratio. For a TVA/CODTotal ratio lower than 0.20, the biodegradability was considered low, for ratios between 0.20 and 0.40 it was considered medium, and above 0.40 it was considered high.