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Parameters for the three models were obtained for sites in Brazil. The models were tested and RMS errors presented. Although most part of the results is still under analysis, an important conclusion is that the models are applicable to tropical and equatorial climates. Some high RMS errors can be probably reduced by more accurate choice of parameters and careful events database maintenance. Although...
Nowadays, the electricity generation industry works with complex systems. A complex system can be defined as composed of several subsystems, elements, components, or different equipments, interacting spatially and temporarily in a nonlinear way. A system's complexity is related to the amount of different elements, intensity of the relations, and the functions that each element carries out to reach...
System availability optimization is one of the main issues to oil production managers: the greater the system availability the greater the production profits are. Provided that preventive maintenance actions promote rejuvenation impact on availability indicator, this paper proposes an approach to maximize the mean availability by identifying an optimal maintenance policy for downhole optical monitoring...
This paper is concerned with the performance of stochastic dynamic programming for long term hydrothermal scheduling. Different streamflow models progressively more complex have been considered in order to identify the benefits of increasing sophistication of streamflow modeling on the performance of stochastic dynamic programming. The first and simplest model considers the inflows given by their...
This paper presents a new methodology to evaluate in a predictive way the reliability of distribution systems, considering the impact of automatic recloser switches. The developed algorithm is based on state enumeration techniques with Markovian models and on the minimal cut set theory. Some computational aspects related with the implementation of the proposed algorithm in typical distribution networks...
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