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As manufacturing costs keep decreasing, battery energy storage systems (BESS) are expected to play a key role in modern grids. However, due to their energy constraints and internal losses, the restoration of the state of charge (SoC) to a reference range is of vital importance to fulfil their tasks. In this paper, we propose SoC control schemes based on existing ones, and then we evaluate their behavior...
This paper investigates the effects on voltage stability of a converter based STATCOM integrated with a Supercapacitor into a low voltage (LV) distribution network. An Average Model of a STATCOM was simulated, where the IGBT Voltage-Source Converter was represented by equivalent controlled voltage sources. The STATCOM was modeled in the Real Time Digital Simulator's (RTDS®) dedicated software RSCAD...
Genetic Algorithms in combination with Artificial Neural Networks have been used to solve optimization problems in several domains. In this paper, an evolutionary algorithm consisting of an Artificial Neural Network and a Genetic Algorithm is presented for predicting the asthma outcome in children under the age of five. The most cases of asthma begin during the first years of life, thus the early...
In this work an information theory approach is presented for measuring structural variability during insect metamorphosis. Following a self-organizational perspective, the underlying assumption is that an insect pupa is a cybernetic bio-system, which displays a homeostatic control during its metamorphosis. The description of structural variability was based on biochemical data (lipids, glycogen, carbohydrates...
The long-term solution to the asthma epidemic is thought to be prevention, and not treatment of the established disease. The most cases of asthma begin during the first years of life, thus the early identification of young children at high risk of developing persistent symptoms of the disease throughout childhood is an important public health priority. Artificial Neural Networks have been proposed...
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