| Autors: Gospodinova, E. G. Title: Mathematical Modeling of Genetic Search Processes for Planning Energy Production Using a Neural Network Keywords: genetic algorithms, renewable energy, Neural Network, mathem Abstract: Abstract— This paper examines the investigation and optimization of existing approaches for efficient deployment of renewable energy-based power generation facilities and a genetic algorithm for predicting the operating mode with the help of efficient deployment of production facilities. The developed genetic algorithm model is based on the use of a radial basic neural network, as a result of which it becomes possible to minimize the cost of data processing time and can be used in solving technical and economic problems that require high-speed processing. The proposed approach allows the obtaining of the most accurate and justified option for the deployment of renewable energy sources to solve the problem of active power reserves and allows to forecast generation with an error of no more than 20%. References Issue
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Вид: публикация в международен форум, публикация в издание с импакт фактор, публикация в реферирано издание, индексирана в Web of Science
